Overview

Brought to you by YData

Dataset statistics

Number of variables52
Number of observations754
Missing cells12231
Missing cells (%)31.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory312.2 KiB
Average record size in memory424.0 B

Variable types

DateTime3
Categorical22
Text24
Unsupported3

Alerts

Time Zone has constant value "Pacific Time (US & Canada)" Constant
Gift Card Sales has constant value "$0.00" Constant
Square Gift Card has constant value "$0.00" Constant
Other Tender Type has constant value "Custom" Constant
Location has constant value "Belly Rubb" Constant
Customer Reference ID has constant value ", " Constant
Device Nickname has constant value "Saticoy #1" Constant
Cash App has constant value "$0.00" Constant
Free Processing Applied has constant value "$0.00" Constant
Unattributed Tips has constant value "$0.00" Constant
Card Brand is highly overall correlated with Discount Name and 2 other fieldsHigh correlation
Card Entry Methods is highly overall correlated with Device Name and 3 other fieldsHigh correlation
Device Name is highly overall correlated with Card Entry Methods and 6 other fieldsHigh correlation
Dining Option is highly overall correlated with Discount Name and 4 other fieldsHigh correlation
Discount Name is highly overall correlated with Card Brand and 8 other fieldsHigh correlation
Discounts is highly overall correlated with Discount NameHigh correlation
Event Type is highly overall correlated with Refund ReasonHigh correlation
Fee Fixed Rate is highly overall correlated with Card Brand and 5 other fieldsHigh correlation
Partial Refunds is highly overall correlated with Dining Option and 3 other fieldsHigh correlation
Refund Reason is highly overall correlated with Device Name and 7 other fieldsHigh correlation
Service Charges is highly overall correlated with Device Name and 3 other fieldsHigh correlation
Source is highly overall correlated with Device Name and 4 other fieldsHigh correlation
Third Party Fees is highly overall correlated with Device Name and 3 other fieldsHigh correlation
Transaction Status is highly overall correlated with Card Brand and 4 other fieldsHigh correlation
Discounts is highly imbalanced (94.5%) Imbalance
Service Charges is highly imbalanced (94.2%) Imbalance
Partial Refunds is highly imbalanced (97.8%) Imbalance
Event Type is highly imbalanced (86.7%) Imbalance
Dining Option is highly imbalanced (81.8%) Imbalance
Third Party Fees is highly imbalanced (93.9%) Imbalance
Transaction Status is highly imbalanced (81.0%) Imbalance
Card Entry Methods has 470 (62.3%) missing values Missing
Other Tender Type has 380 (50.4%) missing values Missing
Tender Note has 500 (66.3%) missing values Missing
Card Brand has 470 (62.3%) missing values Missing
PAN Suffix has 470 (62.3%) missing values Missing
Device Name has 536 (71.1%) missing values Missing
Staff Name has 751 (99.6%) missing values Missing
Staff ID has 754 (100.0%) missing values Missing
Dining Option has 534 (70.8%) missing values Missing
Customer ID has 511 (67.8%) missing values Missing
Customer Name has 533 (70.7%) missing values Missing
Customer Reference ID has 753 (99.9%) missing values Missing
Device Nickname has 753 (99.9%) missing values Missing
Deposit ID has 469 (62.2%) missing values Missing
Deposit Date has 469 (62.2%) missing values Missing
Deposit Details has 469 (62.2%) missing values Missing
Fee Percentage Rate has 469 (62.2%) missing values Missing
Fee Fixed Rate has 469 (62.2%) missing values Missing
Refund Reason has 740 (98.1%) missing values Missing
Discount Name has 739 (98.0%) missing values Missing
Order Reference ID has 241 (32.0%) missing values Missing
Fulfillment Note has 737 (97.7%) missing values Missing
Unattributed Tips has 14 (1.9%) missing values Missing
Transaction ID has unique values Unique
Details has unique values Unique
PAN Suffix is an unsupported type, check if it needs cleaning or further analysis Unsupported
Staff ID is an unsupported type, check if it needs cleaning or further analysis Unsupported
Fee Percentage Rate is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2025-01-02 22:21:50.328624
Analysis finished2025-01-02 22:21:52.171691
Duration1.84 second
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Date
Date

Distinct244
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Minimum2023-11-27 00:00:00
Maximum2024-12-20 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-01-02T14:21:52.231405image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-01-02T14:21:52.325728image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Time
Date

Distinct750
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Minimum2025-01-02 00:05:39
Maximum2025-01-02 22:58:24
Invalid dates0
Invalid dates (%)0.0%
2025-01-02T14:21:52.419806image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-01-02T14:21:52.514709image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Time Zone
Categorical

Constant 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Pacific Time (US & Canada)
754 

Length

Max length26
Median length26
Mean length26
Min length26

Characters and Unicode

Total characters19604
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPacific Time (US & Canada)
2nd rowPacific Time (US & Canada)
3rd rowPacific Time (US & Canada)
4th rowPacific Time (US & Canada)
5th rowPacific Time (US & Canada)

Common Values

ValueCountFrequency (%)
Pacific Time (US & Canada) 754
100.0%

Length

2025-01-02T14:21:52.681717image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:21:52.753030image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
pacific 754
20.0%
time 754
20.0%
us 754
20.0%
754
20.0%
canada 754
20.0%

Most occurring characters

ValueCountFrequency (%)
a 3016
15.4%
3016
15.4%
i 2262
11.5%
c 1508
 
7.7%
P 754
 
3.8%
f 754
 
3.8%
T 754
 
3.8%
m 754
 
3.8%
e 754
 
3.8%
( 754
 
3.8%
Other values (7) 5278
26.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 19604
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 3016
15.4%
3016
15.4%
i 2262
11.5%
c 1508
 
7.7%
P 754
 
3.8%
f 754
 
3.8%
T 754
 
3.8%
m 754
 
3.8%
e 754
 
3.8%
( 754
 
3.8%
Other values (7) 5278
26.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 19604
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 3016
15.4%
3016
15.4%
i 2262
11.5%
c 1508
 
7.7%
P 754
 
3.8%
f 754
 
3.8%
T 754
 
3.8%
m 754
 
3.8%
e 754
 
3.8%
( 754
 
3.8%
Other values (7) 5278
26.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 19604
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 3016
15.4%
3016
15.4%
i 2262
11.5%
c 1508
 
7.7%
P 754
 
3.8%
f 754
 
3.8%
T 754
 
3.8%
m 754
 
3.8%
e 754
 
3.8%
( 754
 
3.8%
Other values (7) 5278
26.9%
Distinct570
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2025-01-02T14:21:52.908023image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.0530504
Min length5

Characters and Unicode

Total characters4564
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique498 ?
Unique (%)66.0%

Sample

1st row$0.00
2nd row$115.07
3rd row$36.17
4th row$53.40
5th row$9.34
ValueCountFrequency (%)
0.00 25
 
3.3%
19.99 15
 
2.0%
48.99 12
 
1.6%
23.45 9
 
1.2%
34.93 9
 
1.2%
35.92 8
 
1.1%
24.25 8
 
1.1%
17.45 8
 
1.1%
27.49 6
 
0.8%
46.90 5
 
0.7%
Other values (553) 649
86.1%
2025-01-02T14:21:53.176037image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
$ 754
16.5%
. 754
16.5%
4 403
8.8%
5 345
7.6%
9 343
7.5%
2 338
7.4%
3 318
7.0%
1 289
 
6.3%
0 272
 
6.0%
7 264
 
5.8%
Other values (4) 484
10.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4564
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
$ 754
16.5%
. 754
16.5%
4 403
8.8%
5 345
7.6%
9 343
7.5%
2 338
7.4%
3 318
7.0%
1 289
 
6.3%
0 272
 
6.0%
7 264
 
5.8%
Other values (4) 484
10.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4564
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
$ 754
16.5%
. 754
16.5%
4 403
8.8%
5 345
7.6%
9 343
7.5%
2 338
7.4%
3 318
7.0%
1 289
 
6.3%
0 272
 
6.0%
7 264
 
5.8%
Other values (4) 484
10.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4564
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
$ 754
16.5%
. 754
16.5%
4 403
8.8%
5 345
7.6%
9 343
7.5%
2 338
7.4%
3 318
7.0%
1 289
 
6.3%
0 272
 
6.0%
7 264
 
5.8%
Other values (4) 484
10.6%

Discounts
Categorical

High correlation  Imbalance 

Distinct16
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
$0.00
739 
-$4.54
 
1
-$4.90
 
1
-$3.49
 
1
$1.70
 
1
Other values (11)
 
11

Length

Max length6
Median length5
Mean length5.0185676
Min length5

Characters and Unicode

Total characters3784
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)2.0%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 739
98.0%
-$4.54 1
 
0.1%
-$4.90 1
 
0.1%
-$3.49 1
 
0.1%
$1.70 1
 
0.1%
-$5.98 1
 
0.1%
-$1.60 1
 
0.1%
-$2.86 1
 
0.1%
-$2.08 1
 
0.1%
-$5.00 1
 
0.1%
Other values (6) 6
 
0.8%

Length

2025-01-02T14:21:53.275368image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.00 739
98.0%
4.54 1
 
0.1%
4.90 1
 
0.1%
3.49 1
 
0.1%
1.70 1
 
0.1%
5.98 1
 
0.1%
1.60 1
 
0.1%
2.86 1
 
0.1%
2.08 1
 
0.1%
5.00 1
 
0.1%
Other values (6) 6
 
0.8%

Most occurring characters

ValueCountFrequency (%)
0 2224
58.8%
$ 754
 
19.9%
. 754
 
19.9%
- 14
 
0.4%
2 6
 
0.2%
8 6
 
0.2%
4 5
 
0.1%
5 5
 
0.1%
1 5
 
0.1%
3 4
 
0.1%
Other values (3) 7
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3784
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2224
58.8%
$ 754
 
19.9%
. 754
 
19.9%
- 14
 
0.4%
2 6
 
0.2%
8 6
 
0.2%
4 5
 
0.1%
5 5
 
0.1%
1 5
 
0.1%
3 4
 
0.1%
Other values (3) 7
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3784
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2224
58.8%
$ 754
 
19.9%
. 754
 
19.9%
- 14
 
0.4%
2 6
 
0.2%
8 6
 
0.2%
4 5
 
0.1%
5 5
 
0.1%
1 5
 
0.1%
3 4
 
0.1%
Other values (3) 7
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3784
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2224
58.8%
$ 754
 
19.9%
. 754
 
19.9%
- 14
 
0.4%
2 6
 
0.2%
8 6
 
0.2%
4 5
 
0.1%
5 5
 
0.1%
1 5
 
0.1%
3 4
 
0.1%
Other values (3) 7
 
0.2%

Service Charges
Categorical

High correlation  Imbalance 

Distinct16
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
$0.00
738 
$13.99
 
2
$15.79
 
1
$14.75
 
1
$35.80
 
1
Other values (11)
 
11

Length

Max length6
Median length5
Mean length5.0159151
Min length5

Characters and Unicode

Total characters3782
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.9%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 738
97.9%
$13.99 2
 
0.3%
$15.79 1
 
0.1%
$14.75 1
 
0.1%
$35.80 1
 
0.1%
$5.00 1
 
0.1%
$10.09 1
 
0.1%
$10.00 1
 
0.1%
$3.00 1
 
0.1%
$13.54 1
 
0.1%
Other values (6) 6
 
0.8%

Length

2025-01-02T14:21:53.352279image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.00 738
97.9%
13.99 2
 
0.3%
15.79 1
 
0.1%
14.75 1
 
0.1%
35.80 1
 
0.1%
5.00 1
 
0.1%
10.09 1
 
0.1%
10.00 1
 
0.1%
3.00 1
 
0.1%
13.54 1
 
0.1%
Other values (6) 6
 
0.8%

Most occurring characters

ValueCountFrequency (%)
0 2227
58.9%
$ 754
 
19.9%
. 754
 
19.9%
1 13
 
0.3%
9 8
 
0.2%
5 8
 
0.2%
3 6
 
0.2%
7 3
 
0.1%
4 3
 
0.1%
8 3
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3782
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2227
58.9%
$ 754
 
19.9%
. 754
 
19.9%
1 13
 
0.3%
9 8
 
0.2%
5 8
 
0.2%
3 6
 
0.2%
7 3
 
0.1%
4 3
 
0.1%
8 3
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3782
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2227
58.9%
$ 754
 
19.9%
. 754
 
19.9%
1 13
 
0.3%
9 8
 
0.2%
5 8
 
0.2%
3 6
 
0.2%
7 3
 
0.1%
4 3
 
0.1%
8 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3782
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2227
58.9%
$ 754
 
19.9%
. 754
 
19.9%
1 13
 
0.3%
9 8
 
0.2%
5 8
 
0.2%
3 6
 
0.2%
7 3
 
0.1%
4 3
 
0.1%
8 3
 
0.1%
Distinct573
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2025-01-02T14:21:53.527533image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.0530504
Min length5

Characters and Unicode

Total characters4564
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique502 ?
Unique (%)66.6%

Sample

1st row$0.00
2nd row$115.07
3rd row$36.17
4th row$53.40
5th row$9.34
ValueCountFrequency (%)
0.00 25
 
3.3%
19.99 15
 
2.0%
48.99 11
 
1.5%
23.45 9
 
1.2%
24.25 8
 
1.1%
17.45 8
 
1.1%
34.93 8
 
1.1%
35.92 8
 
1.1%
27.49 6
 
0.8%
46.90 5
 
0.7%
Other values (556) 651
86.3%
2025-01-02T14:21:53.805811image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
$ 754
16.5%
. 754
16.5%
4 406
8.9%
5 348
7.6%
2 340
7.4%
9 337
7.4%
3 318
7.0%
1 294
 
6.4%
0 273
 
6.0%
7 260
 
5.7%
Other values (4) 480
10.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4564
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
$ 754
16.5%
. 754
16.5%
4 406
8.9%
5 348
7.6%
2 340
7.4%
9 337
7.4%
3 318
7.0%
1 294
 
6.4%
0 273
 
6.0%
7 260
 
5.7%
Other values (4) 480
10.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4564
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
$ 754
16.5%
. 754
16.5%
4 406
8.9%
5 348
7.6%
2 340
7.4%
9 337
7.4%
3 318
7.0%
1 294
 
6.4%
0 273
 
6.0%
7 260
 
5.7%
Other values (4) 480
10.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4564
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
$ 754
16.5%
. 754
16.5%
4 406
8.9%
5 348
7.6%
2 340
7.4%
9 337
7.4%
3 318
7.0%
1 294
 
6.4%
0 273
 
6.0%
7 260
 
5.7%
Other values (4) 480
10.5%

Gift Card Sales
Categorical

Constant 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
$0.00
754 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters3770
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 754
100.0%

Length

2025-01-02T14:21:53.894246image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:21:53.955324image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
0.00 754
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3770
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3770
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3770
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%

Tax
Text

Distinct432
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2025-01-02T14:21:54.103263image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0901857
Min length5

Characters and Unicode

Total characters3838
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique279 ?
Unique (%)37.0%

Sample

1st row$0.00
2nd row$10.93
3rd row$3.44
4th row$4.31
5th row$0.89
ValueCountFrequency (%)
0.00 29
 
3.8%
1.90 15
 
2.0%
3.32 12
 
1.6%
2.23 10
 
1.3%
2.61 9
 
1.2%
2.30 8
 
1.1%
1.66 8
 
1.1%
3.46 7
 
0.9%
2.94 7
 
0.9%
4.65 7
 
0.9%
Other values (413) 642
85.1%
2025-01-02T14:21:54.362438image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
$ 754
19.6%
. 754
19.6%
2 340
8.9%
1 288
 
7.5%
0 278
 
7.2%
4 273
 
7.1%
3 265
 
6.9%
6 215
 
5.6%
5 211
 
5.5%
9 154
 
4.0%
Other values (3) 306
8.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3838
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
$ 754
19.6%
. 754
19.6%
2 340
8.9%
1 288
 
7.5%
0 278
 
7.2%
4 273
 
7.1%
3 265
 
6.9%
6 215
 
5.6%
5 211
 
5.5%
9 154
 
4.0%
Other values (3) 306
8.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3838
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
$ 754
19.6%
. 754
19.6%
2 340
8.9%
1 288
 
7.5%
0 278
 
7.2%
4 273
 
7.1%
3 265
 
6.9%
6 215
 
5.6%
5 211
 
5.5%
9 154
 
4.0%
Other values (3) 306
8.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3838
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
$ 754
19.6%
. 754
19.6%
2 340
8.9%
1 288
 
7.5%
0 278
 
7.2%
4 273
 
7.1%
3 265
 
6.9%
6 215
 
5.6%
5 211
 
5.5%
9 154
 
4.0%
Other values (3) 306
8.0%

Tip
Text

Distinct86
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2025-01-02T14:21:54.488508image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0278515
Min length5

Characters and Unicode

Total characters3791
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)9.4%

Sample

1st row$0.00
2nd row$0.00
3rd row$5.43
4th row$0.00
5th row$0.00
ValueCountFrequency (%)
0.00 651
86.3%
4.00 4
 
0.5%
5.00 4
 
0.5%
4.69 2
 
0.3%
4.74 2
 
0.3%
3.67 2
 
0.3%
3.03 2
 
0.3%
3.49 2
 
0.3%
6.00 2
 
0.3%
6.56 2
 
0.3%
Other values (75) 81
 
10.7%
2025-01-02T14:21:54.697214image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2011
53.0%
$ 754
 
19.9%
. 754
 
19.9%
1 45
 
1.2%
5 39
 
1.0%
4 37
 
1.0%
3 33
 
0.9%
6 32
 
0.8%
2 29
 
0.8%
7 21
 
0.6%
Other values (3) 36
 
0.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3791
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2011
53.0%
$ 754
 
19.9%
. 754
 
19.9%
1 45
 
1.2%
5 39
 
1.0%
4 37
 
1.0%
3 33
 
0.9%
6 32
 
0.8%
2 29
 
0.8%
7 21
 
0.6%
Other values (3) 36
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3791
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2011
53.0%
$ 754
 
19.9%
. 754
 
19.9%
1 45
 
1.2%
5 39
 
1.0%
4 37
 
1.0%
3 33
 
0.9%
6 32
 
0.8%
2 29
 
0.8%
7 21
 
0.6%
Other values (3) 36
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3791
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2011
53.0%
$ 754
 
19.9%
. 754
 
19.9%
1 45
 
1.2%
5 39
 
1.0%
4 37
 
1.0%
3 33
 
0.9%
6 32
 
0.8%
2 29
 
0.8%
7 21
 
0.6%
Other values (3) 36
 
0.9%

Partial Refunds
Categorical

High correlation  Imbalance 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
$0.00
751 
-$85.06
 
1
-$15.49
 
1
-$0.95
 
1

Length

Max length7
Median length5
Mean length5.0066313
Min length5

Characters and Unicode

Total characters3775
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 751
99.6%
-$85.06 1
 
0.1%
-$15.49 1
 
0.1%
-$0.95 1
 
0.1%

Length

2025-01-02T14:21:54.796939image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:21:54.871008image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
0.00 751
99.6%
85.06 1
 
0.1%
15.49 1
 
0.1%
0.95 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 2255
59.7%
$ 754
 
20.0%
. 754
 
20.0%
- 3
 
0.1%
5 3
 
0.1%
9 2
 
0.1%
8 1
 
< 0.1%
6 1
 
< 0.1%
1 1
 
< 0.1%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3775
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2255
59.7%
$ 754
 
20.0%
. 754
 
20.0%
- 3
 
0.1%
5 3
 
0.1%
9 2
 
0.1%
8 1
 
< 0.1%
6 1
 
< 0.1%
1 1
 
< 0.1%
4 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3775
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2255
59.7%
$ 754
 
20.0%
. 754
 
20.0%
- 3
 
0.1%
5 3
 
0.1%
9 2
 
0.1%
8 1
 
< 0.1%
6 1
 
< 0.1%
1 1
 
< 0.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3775
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2255
59.7%
$ 754
 
20.0%
. 754
 
20.0%
- 3
 
0.1%
5 3
 
0.1%
9 2
 
0.1%
8 1
 
< 0.1%
6 1
 
< 0.1%
1 1
 
< 0.1%
4 1
 
< 0.1%
Distinct609
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2025-01-02T14:21:55.043353image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.0888594
Min length5

Characters and Unicode

Total characters4591
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique546 ?
Unique (%)72.4%

Sample

1st row$0.00
2nd row$126.00
3rd row$45.04
4th row$57.71
5th row$10.23
ValueCountFrequency (%)
0.00 22
 
2.9%
21.89 13
 
1.7%
19.11 7
 
0.9%
26.55 7
 
0.9%
53.64 7
 
0.9%
27.27 6
 
0.8%
25.68 6
 
0.8%
38.25 6
 
0.8%
48.48 5
 
0.7%
51.36 5
 
0.7%
Other values (592) 670
88.9%
2025-01-02T14:21:55.317691image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
$ 754
16.4%
. 754
16.4%
2 372
8.1%
3 362
7.9%
1 351
7.6%
0 312
6.8%
5 307
6.7%
4 302
6.6%
6 293
 
6.4%
8 281
 
6.1%
Other values (4) 503
11.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4591
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
$ 754
16.4%
. 754
16.4%
2 372
8.1%
3 362
7.9%
1 351
7.6%
0 312
6.8%
5 307
6.7%
4 302
6.6%
6 293
 
6.4%
8 281
 
6.1%
Other values (4) 503
11.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4591
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
$ 754
16.4%
. 754
16.4%
2 372
8.1%
3 362
7.9%
1 351
7.6%
0 312
6.8%
5 307
6.7%
4 302
6.6%
6 293
 
6.4%
8 281
 
6.1%
Other values (4) 503
11.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4591
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
$ 754
16.4%
. 754
16.4%
2 372
8.1%
3 362
7.9%
1 351
7.6%
0 312
6.8%
5 307
6.7%
4 302
6.6%
6 293
 
6.4%
8 281
 
6.1%
Other values (4) 503
11.0%

Source
Categorical

High correlation 

Distinct12
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
DOORDASH
243 
Point of Sale
229 
Square Online
143 
Uber Eats Delivery
62 
Postmates Delivery
46 
Other values (7)
31 

Length

Max length22
Median length18
Mean length12.116711
Min length8

Characters and Unicode

Total characters9136
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st rowPoint of Sale
2nd rowPoint of Sale
3rd rowSquare Online
4th rowDOORDASH
5th rowDOORDASH

Common Values

ValueCountFrequency (%)
DOORDASH 243
32.2%
Point of Sale 229
30.4%
Square Online 143
19.0%
Uber Eats Delivery 62
 
8.2%
Postmates Delivery 46
 
6.1%
Uber Eats Pickup 9
 
1.2%
Payment Link 8
 
1.1%
STOREFRONT 7
 
0.9%
Postmates Pickup 3
 
0.4%
Invoices 2
 
0.3%
Other values (2) 2
 
0.3%

Length

2025-01-02T14:21:55.419734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
doordash 243
15.6%
point 229
14.7%
of 229
14.7%
sale 229
14.7%
square 143
9.2%
online 143
9.2%
delivery 108
6.9%
uber 71
 
4.6%
eats 71
 
4.6%
postmates 49
 
3.1%
Other values (9) 41
 
2.6%

Most occurring characters

ValueCountFrequency (%)
e 866
 
9.5%
802
 
8.8%
O 643
 
7.0%
S 622
 
6.8%
D 594
 
6.5%
n 536
 
5.9%
o 511
 
5.6%
i 505
 
5.5%
a 503
 
5.5%
l 482
 
5.3%
Other values (27) 3072
33.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9136
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 866
 
9.5%
802
 
8.8%
O 643
 
7.0%
S 622
 
6.8%
D 594
 
6.5%
n 536
 
5.9%
o 511
 
5.6%
i 505
 
5.5%
a 503
 
5.5%
l 482
 
5.3%
Other values (27) 3072
33.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9136
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 866
 
9.5%
802
 
8.8%
O 643
 
7.0%
S 622
 
6.8%
D 594
 
6.5%
n 536
 
5.9%
o 511
 
5.6%
i 505
 
5.5%
a 503
 
5.5%
l 482
 
5.3%
Other values (27) 3072
33.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9136
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 866
 
9.5%
802
 
8.8%
O 643
 
7.0%
S 622
 
6.8%
D 594
 
6.5%
n 536
 
5.9%
o 511
 
5.6%
i 505
 
5.5%
a 503
 
5.5%
l 482
 
5.3%
Other values (27) 3072
33.6%

Card
Text

Distinct262
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2025-01-02T14:21:55.596092image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.4482759
Min length5

Characters and Unicode

Total characters4108
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique245 ?
Unique (%)32.5%

Sample

1st row$0.00
2nd row$126.00
3rd row$45.04
4th row$0.00
5th row$0.00
ValueCountFrequency (%)
0.00 470
62.3%
53.64 5
 
0.7%
48.48 4
 
0.5%
16.95 3
 
0.4%
27.27 3
 
0.4%
44.42 2
 
0.3%
56.64 2
 
0.3%
22.44 2
 
0.3%
54.25 2
 
0.3%
30.43 2
 
0.3%
Other values (249) 259
34.4%
2025-01-02T14:21:55.867406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1517
36.9%
$ 754
18.4%
. 754
18.4%
4 144
 
3.5%
1 141
 
3.4%
3 129
 
3.1%
2 128
 
3.1%
5 120
 
2.9%
6 118
 
2.9%
7 109
 
2.7%
Other values (4) 194
 
4.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4108
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1517
36.9%
$ 754
18.4%
. 754
18.4%
4 144
 
3.5%
1 141
 
3.4%
3 129
 
3.1%
2 128
 
3.1%
5 120
 
2.9%
6 118
 
2.9%
7 109
 
2.7%
Other values (4) 194
 
4.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4108
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1517
36.9%
$ 754
18.4%
. 754
18.4%
4 144
 
3.5%
1 141
 
3.4%
3 129
 
3.1%
2 128
 
3.1%
5 120
 
2.9%
6 118
 
2.9%
7 109
 
2.7%
Other values (4) 194
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4108
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1517
36.9%
$ 754
18.4%
. 754
18.4%
4 144
 
3.5%
1 141
 
3.4%
3 129
 
3.1%
2 128
 
3.1%
5 120
 
2.9%
6 118
 
2.9%
7 109
 
2.7%
Other values (4) 194
 
4.7%

Card Entry Methods
Categorical

High correlation  Missing 

Distinct4
Distinct (%)1.4%
Missing470
Missing (%)62.3%
Memory size11.8 KiB
Keyed
172 
Tapped
98 
On File
 
10
Dipped
 
4

Length

Max length7
Median length5
Mean length5.4295775
Min length5

Characters and Unicode

Total characters1542
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTapped
2nd rowKeyed
3rd rowKeyed
4th rowKeyed
5th rowKeyed

Common Values

ValueCountFrequency (%)
Keyed 172
 
22.8%
Tapped 98
 
13.0%
On File 10
 
1.3%
Dipped 4
 
0.5%
(Missing) 470
62.3%

Length

2025-01-02T14:21:55.981528image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:21:56.059843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
keyed 172
58.5%
tapped 98
33.3%
on 10
 
3.4%
file 10
 
3.4%
dipped 4
 
1.4%

Most occurring characters

ValueCountFrequency (%)
e 456
29.6%
d 274
17.8%
p 204
13.2%
K 172
 
11.2%
y 172
 
11.2%
T 98
 
6.4%
a 98
 
6.4%
i 14
 
0.9%
n 10
 
0.6%
O 10
 
0.6%
Other values (4) 34
 
2.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1542
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 456
29.6%
d 274
17.8%
p 204
13.2%
K 172
 
11.2%
y 172
 
11.2%
T 98
 
6.4%
a 98
 
6.4%
i 14
 
0.9%
n 10
 
0.6%
O 10
 
0.6%
Other values (4) 34
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1542
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 456
29.6%
d 274
17.8%
p 204
13.2%
K 172
 
11.2%
y 172
 
11.2%
T 98
 
6.4%
a 98
 
6.4%
i 14
 
0.9%
n 10
 
0.6%
O 10
 
0.6%
Other values (4) 34
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1542
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 456
29.6%
d 274
17.8%
p 204
13.2%
K 172
 
11.2%
y 172
 
11.2%
T 98
 
6.4%
a 98
 
6.4%
i 14
 
0.9%
n 10
 
0.6%
O 10
 
0.6%
Other values (4) 34
 
2.2%

Cash
Text

Distinct65
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2025-01-02T14:21:56.162201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.1100796
Min length5

Characters and Unicode

Total characters3853
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)7.6%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00
ValueCountFrequency (%)
0.00 681
90.3%
77.03 3
 
0.4%
40.62 3
 
0.4%
23.74 2
 
0.3%
23.38 2
 
0.3%
21.89 2
 
0.3%
29.26 2
 
0.3%
80.29 2
 
0.3%
392.39 2
 
0.3%
41.02 1
 
0.1%
Other values (54) 54
 
7.2%
2025-01-02T14:21:56.372916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2073
53.8%
$ 754
 
19.6%
. 754
 
19.6%
2 46
 
1.2%
3 38
 
1.0%
1 32
 
0.8%
5 30
 
0.8%
4 28
 
0.7%
6 26
 
0.7%
7 25
 
0.6%
Other values (3) 47
 
1.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3853
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2073
53.8%
$ 754
 
19.6%
. 754
 
19.6%
2 46
 
1.2%
3 38
 
1.0%
1 32
 
0.8%
5 30
 
0.8%
4 28
 
0.7%
6 26
 
0.7%
7 25
 
0.6%
Other values (3) 47
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3853
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2073
53.8%
$ 754
 
19.6%
. 754
 
19.6%
2 46
 
1.2%
3 38
 
1.0%
1 32
 
0.8%
5 30
 
0.8%
4 28
 
0.7%
6 26
 
0.7%
7 25
 
0.6%
Other values (3) 47
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3853
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2073
53.8%
$ 754
 
19.6%
. 754
 
19.6%
2 46
 
1.2%
3 38
 
1.0%
1 32
 
0.8%
5 30
 
0.8%
4 28
 
0.7%
6 26
 
0.7%
7 25
 
0.6%
Other values (3) 47
 
1.2%

Square Gift Card
Categorical

Constant 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
$0.00
754 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters3770
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 754
100.0%

Length

2025-01-02T14:21:56.475082image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:21:56.541041image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
0.00 754
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3770
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3770
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3770
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%
Distinct314
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2025-01-02T14:21:56.726118image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5278515
Min length5

Characters and Unicode

Total characters4168
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique281 ?
Unique (%)37.3%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$57.71
5th row$10.23
ValueCountFrequency (%)
0.00 380
50.4%
21.89 10
 
1.3%
19.11 7
 
0.9%
26.55 5
 
0.7%
25.68 5
 
0.7%
38.25 4
 
0.5%
38.86 4
 
0.5%
51.36 4
 
0.5%
27.27 3
 
0.4%
39.84 3
 
0.4%
Other values (301) 329
43.6%
2025-01-02T14:21:57.008232image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1248
29.9%
$ 754
18.1%
. 754
18.1%
2 198
 
4.8%
3 195
 
4.7%
1 177
 
4.2%
5 157
 
3.8%
8 153
 
3.7%
6 148
 
3.6%
7 135
 
3.2%
Other values (3) 249
 
6.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4168
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1248
29.9%
$ 754
18.1%
. 754
18.1%
2 198
 
4.8%
3 195
 
4.7%
1 177
 
4.2%
5 157
 
3.8%
8 153
 
3.7%
6 148
 
3.6%
7 135
 
3.2%
Other values (3) 249
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4168
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1248
29.9%
$ 754
18.1%
. 754
18.1%
2 198
 
4.8%
3 195
 
4.7%
1 177
 
4.2%
5 157
 
3.8%
8 153
 
3.7%
6 148
 
3.6%
7 135
 
3.2%
Other values (3) 249
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4168
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1248
29.9%
$ 754
18.1%
. 754
18.1%
2 198
 
4.8%
3 195
 
4.7%
1 177
 
4.2%
5 157
 
3.8%
8 153
 
3.7%
6 148
 
3.6%
7 135
 
3.2%
Other values (3) 249
 
6.0%

Other Tender Type
Categorical

Constant  Missing 

Distinct1
Distinct (%)0.3%
Missing380
Missing (%)50.4%
Memory size11.8 KiB
Custom
374 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters2244
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCustom
2nd rowCustom
3rd rowCustom
4th rowCustom
5th rowCustom

Common Values

ValueCountFrequency (%)
Custom 374
49.6%
(Missing) 380
50.4%

Length

2025-01-02T14:21:57.103866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:21:57.167574image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
custom 374
100.0%

Most occurring characters

ValueCountFrequency (%)
C 374
16.7%
u 374
16.7%
s 374
16.7%
t 374
16.7%
o 374
16.7%
m 374
16.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2244
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
C 374
16.7%
u 374
16.7%
s 374
16.7%
t 374
16.7%
o 374
16.7%
m 374
16.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2244
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
C 374
16.7%
u 374
16.7%
s 374
16.7%
t 374
16.7%
o 374
16.7%
m 374
16.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2244
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
C 374
16.7%
u 374
16.7%
s 374
16.7%
t 374
16.7%
o 374
16.7%
m 374
16.7%

Tender Note
Text

Missing 

Distinct251
Distinct (%)98.8%
Missing500
Missing (%)66.3%
Memory size11.8 KiB
2025-01-02T14:21:57.265396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length45
Median length45
Mean length44.893701
Min length18

Characters and Unicode

Total characters11403
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique248 ?
Unique (%)97.6%

Sample

1st rowDoorDash 4201350b-a048-407c-b448-026314821e3d
2nd rowDoorDash 32511734-9c22-3001-85cd-9fa25d985929
3rd rowDoorDash dc942764-e460-3001-8489-45a9246dab1f
4th rowDoorDash 4d379e3e-5a14-3001-b8f4-47c637a6b0d8
5th rowDoorDash e7e51a7d-dcd6-3001-89d7-74ce6ae385e4
ValueCountFrequency (%)
doordash 253
49.6%
f8bdb390-e118-3001-ae8b-4a5424eecfba 2
 
0.4%
d7e207f6-52cc-3001-964d-02d3e8f7754a 2
 
0.4%
2313e2c0-b4a0-3001-9d27-1d353e2b355f 2
 
0.4%
4d379e3e-5a14-3001-b8f4-47c637a6b0d8 1
 
0.2%
e7e51a7d-dcd6-3001-89d7-74ce6ae385e4 1
 
0.2%
1ca9b98d-778f-3001-924a-6f341cf4e40f 1
 
0.2%
11abbc74-d6d4-3001-8a7a-79b35eb834f8 1
 
0.2%
e4690548-86fa-3001-a4a8-9b1566da9caf 1
 
0.2%
00a1d631-d140-3001-9c83-8a057ccf4350 1
 
0.2%
Other values (245) 245
48.0%
2025-01-02T14:21:57.546628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1012
 
8.9%
0 866
 
7.6%
a 746
 
6.5%
1 691
 
6.1%
3 678
 
5.9%
o 508
 
4.5%
D 506
 
4.4%
8 499
 
4.4%
9 489
 
4.3%
4 471
 
4.1%
Other values (23) 4937
43.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11403
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
- 1012
 
8.9%
0 866
 
7.6%
a 746
 
6.5%
1 691
 
6.1%
3 678
 
5.9%
o 508
 
4.5%
D 506
 
4.4%
8 499
 
4.4%
9 489
 
4.3%
4 471
 
4.1%
Other values (23) 4937
43.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11403
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
- 1012
 
8.9%
0 866
 
7.6%
a 746
 
6.5%
1 691
 
6.1%
3 678
 
5.9%
o 508
 
4.5%
D 506
 
4.4%
8 499
 
4.4%
9 489
 
4.3%
4 471
 
4.1%
Other values (23) 4937
43.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11403
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
- 1012
 
8.9%
0 866
 
7.6%
a 746
 
6.5%
1 691
 
6.1%
3 678
 
5.9%
o 508
 
4.5%
D 506
 
4.4%
8 499
 
4.4%
9 489
 
4.3%
4 471
 
4.1%
Other values (23) 4937
43.3%

Fees
Text

Distinct188
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2025-01-02T14:21:57.736442image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4005305
Min length5

Characters and Unicode

Total characters4072
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)17.6%

Sample

1st row$0.00
2nd row-$3.38
3rd row-$1.61
4th row$0.00
5th row$0.00
ValueCountFrequency (%)
0.00 477
63.3%
1.71 6
 
0.8%
0.88 6
 
0.8%
1.94 4
 
0.5%
1.05 4
 
0.5%
1.09 4
 
0.5%
1.18 3
 
0.4%
4.35 3
 
0.4%
2.35 3
 
0.4%
1.07 3
 
0.4%
Other values (178) 241
32.0%
2025-01-02T14:21:58.032261image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1543
37.9%
$ 754
18.5%
. 754
18.5%
- 276
 
6.8%
1 193
 
4.7%
2 93
 
2.3%
3 74
 
1.8%
5 73
 
1.8%
8 72
 
1.8%
4 72
 
1.8%
Other values (3) 168
 
4.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4072
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1543
37.9%
$ 754
18.5%
. 754
18.5%
- 276
 
6.8%
1 193
 
4.7%
2 93
 
2.3%
3 74
 
1.8%
5 73
 
1.8%
8 72
 
1.8%
4 72
 
1.8%
Other values (3) 168
 
4.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4072
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1543
37.9%
$ 754
18.5%
. 754
18.5%
- 276
 
6.8%
1 193
 
4.7%
2 93
 
2.3%
3 74
 
1.8%
5 73
 
1.8%
8 72
 
1.8%
4 72
 
1.8%
Other values (3) 168
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4072
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1543
37.9%
$ 754
18.5%
. 754
18.5%
- 276
 
6.8%
1 193
 
4.7%
2 93
 
2.3%
3 74
 
1.8%
5 73
 
1.8%
8 72
 
1.8%
4 72
 
1.8%
Other values (3) 168
 
4.1%
Distinct625
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2025-01-02T14:21:58.231186image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.0809019
Min length5

Characters and Unicode

Total characters4585
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique559 ?
Unique (%)74.1%

Sample

1st row$0.00
2nd row$122.62
3rd row$43.43
4th row$57.71
5th row$10.23
ValueCountFrequency (%)
0.00 23
 
3.1%
21.89 12
 
1.6%
19.11 7
 
0.9%
26.55 6
 
0.8%
25.68 5
 
0.7%
51.36 5
 
0.7%
46.77 4
 
0.5%
38.86 4
 
0.5%
38.25 4
 
0.5%
16.41 4
 
0.5%
Other values (610) 680
90.2%
2025-01-02T14:21:58.529264image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
$ 754
16.4%
. 754
16.4%
2 390
8.5%
1 351
7.7%
3 349
7.6%
5 314
6.8%
6 292
 
6.4%
0 292
 
6.4%
4 292
 
6.4%
7 278
 
6.1%
Other values (4) 519
11.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4585
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
$ 754
16.4%
. 754
16.4%
2 390
8.5%
1 351
7.7%
3 349
7.6%
5 314
6.8%
6 292
 
6.4%
0 292
 
6.4%
4 292
 
6.4%
7 278
 
6.1%
Other values (4) 519
11.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4585
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
$ 754
16.4%
. 754
16.4%
2 390
8.5%
1 351
7.7%
3 349
7.6%
5 314
6.8%
6 292
 
6.4%
0 292
 
6.4%
4 292
 
6.4%
7 278
 
6.1%
Other values (4) 519
11.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4585
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
$ 754
16.4%
. 754
16.4%
2 390
8.5%
1 351
7.7%
3 349
7.6%
5 314
6.8%
6 292
 
6.4%
0 292
 
6.4%
4 292
 
6.4%
7 278
 
6.1%
Other values (4) 519
11.3%

Transaction ID
Text

Unique 

Distinct754
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2025-01-02T14:21:58.651453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length29
Median length29
Mean length27.864721
Min length25

Characters and Unicode

Total characters21010
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique754 ?
Unique (%)100.0%

Sample

1st rowoKZqeWVoZAj6zQSRihb6vvueV
2nd rowUiMrcBvXQpdYgw9Uv6rANFqeV
3rd rowi0ujnq2skRKEM9o7bQQX2znx8BRZY
4th row2yCSwAHZecEBnU0UjxHAC9cLFmLZY
5th rowG8NtqxpsCGVw3ZYlOPLHKyBjhJIZY
ValueCountFrequency (%)
gk3a2j9s2t5wukatkeayr6oryizzy 1
 
0.1%
wvp7hej4tbfoa5qu8yuowe7xgnqzy 1
 
0.1%
okzqewvozaj6zqsrihb6vvuev 1
 
0.1%
uimrcbvxqpdygw9uv6ranfqev 1
 
0.1%
i0ujnq2skrkem9o7bqqx2znx8brzy 1
 
0.1%
2ycswahzecebnu0ujxhac9clfmlzy 1
 
0.1%
g8ntqxpscgvw3zyloplhkybjhjizy 1
 
0.1%
mvjvqqwclo6iaujtzarpk5wev 1
 
0.1%
y3nqcrlwcsth9oujkhxwqggev 1
 
0.1%
0pua7lqami5cctuq43tmhxo7ju8yy 1
 
0.1%
Other values (744) 744
98.7%
2025-01-02T14:21:58.948931image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Y 948
 
4.5%
Z 758
 
3.6%
e 545
 
2.6%
V 530
 
2.5%
Q 373
 
1.8%
6 354
 
1.7%
K 351
 
1.7%
A 347
 
1.7%
k 344
 
1.6%
w 341
 
1.6%
Other values (52) 16119
76.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 21010
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
Y 948
 
4.5%
Z 758
 
3.6%
e 545
 
2.6%
V 530
 
2.5%
Q 373
 
1.8%
6 354
 
1.7%
K 351
 
1.7%
A 347
 
1.7%
k 344
 
1.6%
w 341
 
1.6%
Other values (52) 16119
76.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 21010
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
Y 948
 
4.5%
Z 758
 
3.6%
e 545
 
2.6%
V 530
 
2.5%
Q 373
 
1.8%
6 354
 
1.7%
K 351
 
1.7%
A 347
 
1.7%
k 344
 
1.6%
w 341
 
1.6%
Other values (52) 16119
76.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 21010
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
Y 948
 
4.5%
Z 758
 
3.6%
e 545
 
2.6%
V 530
 
2.5%
Q 373
 
1.8%
6 354
 
1.7%
K 351
 
1.7%
A 347
 
1.7%
k 344
 
1.6%
w 341
 
1.6%
Other values (52) 16119
76.7%
Distinct740
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2025-01-02T14:21:59.076725image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length60
Median length29
Mean length28.5
Min length27

Characters and Unicode

Total characters21489
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique728 ?
Unique (%)96.6%

Sample

1st rowrpOi2ZGmSFxhO8R5qm9NlUi0vaB
2nd rowT5eHErUi2fuJiAQXLlQnAsXEuaB
3rd rowBoEwMIiFg9Atbymsso08lJQKjUGZY
4th rowfXGzLpFcKyqzD2BiXsA1c2UtN09YY
5th rowxGDUfOjmaBMmbGWAkpO9Ba3xrDSZY
ValueCountFrequency (%)
p3urleofzcwlpkonnzl7grtlladzy 3
 
0.4%
n6eoatzenv6hlxy9ejvlwsdzq1czy 3
 
0.4%
j1atsasntrjvmxjfxbm4n3fdlh9yy 2
 
0.3%
zjtrhtlnuxbdrd643xkylmopsmgzy 2
 
0.3%
tsqwmqvzyv8yh1tgalds55gudiazy 2
 
0.3%
blxby8qzhfkvm78ktcgqp9e5g6wzy 2
 
0.3%
f6uzfiyjwutmcte75saesnpg7fszy 2
 
0.3%
lscxfrdzzfhx4rwnlv5yxsrylqazy 2
 
0.3%
lpcfmsrayy4teqwsy5xncidguab 2
 
0.3%
bmuww3jmsku5ghrq9ppvlqqiuab 2
 
0.3%
Other values (731) 733
97.1%
2025-01-02T14:21:59.291146image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Y 958
 
4.5%
Z 811
 
3.8%
B 541
 
2.5%
a 492
 
2.3%
u 424
 
2.0%
v 384
 
1.8%
N 372
 
1.7%
D 364
 
1.7%
F 362
 
1.7%
z 357
 
1.7%
Other values (54) 16424
76.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 21489
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
Y 958
 
4.5%
Z 811
 
3.8%
B 541
 
2.5%
a 492
 
2.3%
u 424
 
2.0%
v 384
 
1.8%
N 372
 
1.7%
D 364
 
1.7%
F 362
 
1.7%
z 357
 
1.7%
Other values (54) 16424
76.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 21489
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
Y 958
 
4.5%
Z 811
 
3.8%
B 541
 
2.5%
a 492
 
2.3%
u 424
 
2.0%
v 384
 
1.8%
N 372
 
1.7%
D 364
 
1.7%
F 362
 
1.7%
z 357
 
1.7%
Other values (54) 16424
76.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 21489
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
Y 958
 
4.5%
Z 811
 
3.8%
B 541
 
2.5%
a 492
 
2.3%
u 424
 
2.0%
v 384
 
1.8%
N 372
 
1.7%
D 364
 
1.7%
F 362
 
1.7%
z 357
 
1.7%
Other values (54) 16424
76.4%

Card Brand
Categorical

High correlation  Missing 

Distinct5
Distinct (%)1.8%
Missing470
Missing (%)62.3%
Memory size11.8 KiB
Visa
200 
MasterCard
44 
American Express
33 
Discover
 
6
Visa, Visa
 
1

Length

Max length16
Median length4
Mean length6.4295775
Min length4

Characters and Unicode

Total characters1826
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st rowAmerican Express
2nd rowVisa
3rd rowVisa
4th rowMasterCard
5th rowMasterCard

Common Values

ValueCountFrequency (%)
Visa 200
26.5%
MasterCard 44
 
5.8%
American Express 33
 
4.4%
Discover 6
 
0.8%
Visa, Visa 1
 
0.1%
(Missing) 470
62.3%

Length

2025-01-02T14:21:59.431488image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:21:59.519212image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
visa 202
63.5%
mastercard 44
 
13.8%
american 33
 
10.4%
express 33
 
10.4%
discover 6
 
1.9%

Most occurring characters

ValueCountFrequency (%)
a 323
17.7%
s 318
17.4%
i 241
13.2%
V 202
11.1%
r 160
8.8%
e 116
 
6.4%
t 44
 
2.4%
M 44
 
2.4%
C 44
 
2.4%
d 44
 
2.4%
Other values (12) 290
15.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1826
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 323
17.7%
s 318
17.4%
i 241
13.2%
V 202
11.1%
r 160
8.8%
e 116
 
6.4%
t 44
 
2.4%
M 44
 
2.4%
C 44
 
2.4%
d 44
 
2.4%
Other values (12) 290
15.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1826
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 323
17.7%
s 318
17.4%
i 241
13.2%
V 202
11.1%
r 160
8.8%
e 116
 
6.4%
t 44
 
2.4%
M 44
 
2.4%
C 44
 
2.4%
d 44
 
2.4%
Other values (12) 290
15.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1826
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 323
17.7%
s 318
17.4%
i 241
13.2%
V 202
11.1%
r 160
8.8%
e 116
 
6.4%
t 44
 
2.4%
M 44
 
2.4%
C 44
 
2.4%
d 44
 
2.4%
Other values (12) 290
15.9%

PAN Suffix
Unsupported

Missing  Rejected  Unsupported 

Missing470
Missing (%)62.3%
Memory size11.8 KiB

Device Name
Categorical

High correlation  Missing 

Distinct3
Distinct (%)1.4%
Missing536
Missing (%)71.1%
Memory size11.8 KiB
Vartan
136 
Dashboard Belly Rubb
81 
Vartan’s iPad
 
1

Length

Max length20
Median length6
Mean length11.233945
Min length6

Characters and Unicode

Total characters2449
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st rowDashboard Belly Rubb
2nd rowVartan
3rd rowVartan
4th rowVartan
5th rowVartan

Common Values

ValueCountFrequency (%)
Vartan 136
 
18.0%
Dashboard Belly Rubb 81
 
10.7%
Vartan’s iPad 1
 
0.1%
(Missing) 536
71.1%

Length

2025-01-02T14:21:59.610767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:21:59.688024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
vartan 136
35.7%
dashboard 81
21.3%
belly 81
21.3%
rubb 81
21.3%
vartan’s 1
 
0.3%
ipad 1
 
0.3%

Most occurring characters

ValueCountFrequency (%)
a 437
17.8%
b 243
 
9.9%
r 218
 
8.9%
163
 
6.7%
l 162
 
6.6%
n 137
 
5.6%
t 137
 
5.6%
V 137
 
5.6%
d 82
 
3.3%
s 82
 
3.3%
Other values (11) 651
26.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2449
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 437
17.8%
b 243
 
9.9%
r 218
 
8.9%
163
 
6.7%
l 162
 
6.6%
n 137
 
5.6%
t 137
 
5.6%
V 137
 
5.6%
d 82
 
3.3%
s 82
 
3.3%
Other values (11) 651
26.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2449
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 437
17.8%
b 243
 
9.9%
r 218
 
8.9%
163
 
6.7%
l 162
 
6.6%
n 137
 
5.6%
t 137
 
5.6%
V 137
 
5.6%
d 82
 
3.3%
s 82
 
3.3%
Other values (11) 651
26.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2449
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 437
17.8%
b 243
 
9.9%
r 218
 
8.9%
163
 
6.7%
l 162
 
6.6%
n 137
 
5.6%
t 137
 
5.6%
V 137
 
5.6%
d 82
 
3.3%
s 82
 
3.3%
Other values (11) 651
26.6%

Staff Name
Text

Missing 

Distinct2
Distinct (%)66.7%
Missing751
Missing (%)99.6%
Memory size11.8 KiB
2025-01-02T14:21:59.757782image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length34
Median length16
Mean length22
Min length16

Characters and Unicode

Total characters66
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st rowVartan Sarkisian
2nd rowVartan Sarkisian, Vartan Sarkisian
3rd rowVartan Sarkisian
ValueCountFrequency (%)
vartan 4
50.0%
sarkisian 4
50.0%
2025-01-02T14:21:59.903774image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 16
24.2%
r 8
12.1%
n 8
12.1%
i 8
12.1%
5
 
7.6%
V 4
 
6.1%
t 4
 
6.1%
S 4
 
6.1%
k 4
 
6.1%
s 4
 
6.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 66
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 16
24.2%
r 8
12.1%
n 8
12.1%
i 8
12.1%
5
 
7.6%
V 4
 
6.1%
t 4
 
6.1%
S 4
 
6.1%
k 4
 
6.1%
s 4
 
6.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 66
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 16
24.2%
r 8
12.1%
n 8
12.1%
i 8
12.1%
5
 
7.6%
V 4
 
6.1%
t 4
 
6.1%
S 4
 
6.1%
k 4
 
6.1%
s 4
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 66
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 16
24.2%
r 8
12.1%
n 8
12.1%
i 8
12.1%
5
 
7.6%
V 4
 
6.1%
t 4
 
6.1%
S 4
 
6.1%
k 4
 
6.1%
s 4
 
6.1%

Staff ID
Unsupported

Missing  Rejected  Unsupported 

Missing754
Missing (%)100.0%
Memory size11.8 KiB

Details
Text

Unique 

Distinct754
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2025-01-02T14:22:00.033741image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length105
Median length105
Mean length103.86472
Min length101

Characters and Unicode

Total characters78314
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique754 ?
Unique (%)100.0%

Sample

1st rowhttps://app.squareup.com/dashboard/sales/transactions/oKZqeWVoZAj6zQSRihb6vvueV/by-unit/LCT784V6GTPNE
2nd rowhttps://app.squareup.com/dashboard/sales/transactions/UiMrcBvXQpdYgw9Uv6rANFqeV/by-unit/LCT784V6GTPNE
3rd rowhttps://app.squareup.com/dashboard/sales/transactions/i0ujnq2skRKEM9o7bQQX2znx8BRZY/by-unit/LCT784V6GTPNE
4th rowhttps://app.squareup.com/dashboard/sales/transactions/2yCSwAHZecEBnU0UjxHAC9cLFmLZY/by-unit/LCT784V6GTPNE
5th rowhttps://app.squareup.com/dashboard/sales/transactions/G8NtqxpsCGVw3ZYlOPLHKyBjhJIZY/by-unit/LCT784V6GTPNE
ValueCountFrequency (%)
https://app.squareup.com/dashboard/sales/transactions/gk3a2j9s2t5wukatkeayr6oryizzy/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/wvp7hej4tbfoa5qu8yuowe7xgnqzy/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/okzqewvozaj6zqsrihb6vvuev/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/uimrcbvxqpdygw9uv6ranfqev/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/i0ujnq2skrkem9o7bqqx2znx8brzy/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/2ycswahzecebnu0ujxhac9clfmlzy/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/g8ntqxpscgvw3zyloplhkybjhjizy/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/mvjvqqwclo6iaujtzarpk5wev/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/y3nqcrlwcsth9oujkhxwqggev/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/0pua7lqami5cctuq43tmhxo7ju8yy/by-unit/lct784v6gtpne 1
 
0.1%
Other values (744) 744
98.7%
2025-01-02T14:22:00.244902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 6032
 
7.7%
a 5611
 
7.2%
s 5605
 
7.2%
t 4087
 
5.2%
p 3328
 
4.2%
o 2574
 
3.3%
u 2564
 
3.3%
r 2555
 
3.3%
n 2553
 
3.3%
e 2053
 
2.6%
Other values (56) 41352
52.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78314
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
/ 6032
 
7.7%
a 5611
 
7.2%
s 5605
 
7.2%
t 4087
 
5.2%
p 3328
 
4.2%
o 2574
 
3.3%
u 2564
 
3.3%
r 2555
 
3.3%
n 2553
 
3.3%
e 2053
 
2.6%
Other values (56) 41352
52.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78314
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
/ 6032
 
7.7%
a 5611
 
7.2%
s 5605
 
7.2%
t 4087
 
5.2%
p 3328
 
4.2%
o 2574
 
3.3%
u 2564
 
3.3%
r 2555
 
3.3%
n 2553
 
3.3%
e 2053
 
2.6%
Other values (56) 41352
52.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78314
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
/ 6032
 
7.7%
a 5611
 
7.2%
s 5605
 
7.2%
t 4087
 
5.2%
p 3328
 
4.2%
o 2574
 
3.3%
u 2564
 
3.3%
r 2555
 
3.3%
n 2553
 
3.3%
e 2053
 
2.6%
Other values (56) 41352
52.8%
Distinct593
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2025-01-02T14:22:00.412509image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2936
Median length1027.5
Mean length614.58886
Min length13

Characters and Unicode

Total characters463400
Distinct characters88
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique540 ?
Unique (%)71.6%

Sample

1st rowBELLY SLIDERS (6 sliders, Voided) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), BELLY SLIDERS (4 sliders, Voided) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), 2 x GET YOUR BABY BACK! (Full Rack, Voided) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included. *ALLERGEN WARNING* may contain seafood products, MAC&CHEESE (Full, Voided) - Here’s to taking the comfort of good ol’ Mac and Cheese to a whole new level. With our warm spice mix and creamy cheese blend, this is the coziest mac and cheese you’ll find, textured with golden sweet corn.
2nd rowBELLY SLIDERS (6 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), BELLY SLIDERS (4 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), 2 x GET YOUR BABY BACK! (Full Rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included. *ALLERGEN WARNING* may contain seafood products, MAC&CHEESE (Full) - Here’s to taking the comfort of good ol’ Mac and Cheese to a whole new level. With our warm spice mix and creamy cheese blend, this is the coziest mac and cheese you’ll find, textured with golden sweet corn.
3rd rowGET YOUR BABY BACK! (Half rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included. *ALLERGEN WARNING* may contain seafood products, BELLY SLIDERS (2 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!)
4th rowBELLY SLIDERS (4 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), GET YOUR BABY BACK! (Full Rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included. *ALLERGEN WARNING* may contain seafood products
5th rowCRINKLE FRIES (Full, Truffle salt) - Golden, crispy, and simply delicious-- enjoy our crinkle-cut fries with your choice of seasoning: black truffle salt, or rosemary with a dash of black pepper.
ValueCountFrequency (%)
and 4084
 
5.5%
2551
 
3.4%
with 1829
 
2.5%
a 1564
 
2.1%
of 1561
 
2.1%
for 1262
 
1.7%
regular 1179
 
1.6%
sauce 1153
 
1.5%
the 1073
 
1.4%
our 992
 
1.3%
Other values (571) 57255
76.8%
2025-01-02T14:22:00.698951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71783
 
15.5%
e 39514
 
8.5%
a 24271
 
5.2%
o 22304
 
4.8%
r 20268
 
4.4%
i 19353
 
4.2%
n 18368
 
4.0%
t 17766
 
3.8%
l 17764
 
3.8%
s 17723
 
3.8%
Other values (78) 194286
41.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 463400
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
71783
 
15.5%
e 39514
 
8.5%
a 24271
 
5.2%
o 22304
 
4.8%
r 20268
 
4.4%
i 19353
 
4.2%
n 18368
 
4.0%
t 17766
 
3.8%
l 17764
 
3.8%
s 17723
 
3.8%
Other values (78) 194286
41.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 463400
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
71783
 
15.5%
e 39514
 
8.5%
a 24271
 
5.2%
o 22304
 
4.8%
r 20268
 
4.4%
i 19353
 
4.2%
n 18368
 
4.0%
t 17766
 
3.8%
l 17764
 
3.8%
s 17723
 
3.8%
Other values (78) 194286
41.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 463400
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
71783
 
15.5%
e 39514
 
8.5%
a 24271
 
5.2%
o 22304
 
4.8%
r 20268
 
4.4%
i 19353
 
4.2%
n 18368
 
4.0%
t 17766
 
3.8%
l 17764
 
3.8%
s 17723
 
3.8%
Other values (78) 194286
41.9%

Event Type
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Payment
740 
Refund
 
14

Length

Max length7
Median length7
Mean length6.9814324
Min length6

Characters and Unicode

Total characters5264
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPayment
2nd rowPayment
3rd rowPayment
4th rowPayment
5th rowPayment

Common Values

ValueCountFrequency (%)
Payment 740
98.1%
Refund 14
 
1.9%

Length

2025-01-02T14:22:00.793520image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:22:00.859383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
payment 740
98.1%
refund 14
 
1.9%

Most occurring characters

ValueCountFrequency (%)
e 754
14.3%
n 754
14.3%
P 740
14.1%
y 740
14.1%
a 740
14.1%
m 740
14.1%
t 740
14.1%
R 14
 
0.3%
f 14
 
0.3%
u 14
 
0.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5264
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 754
14.3%
n 754
14.3%
P 740
14.1%
y 740
14.1%
a 740
14.1%
m 740
14.1%
t 740
14.1%
R 14
 
0.3%
f 14
 
0.3%
u 14
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5264
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 754
14.3%
n 754
14.3%
P 740
14.1%
y 740
14.1%
a 740
14.1%
m 740
14.1%
t 740
14.1%
R 14
 
0.3%
f 14
 
0.3%
u 14
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5264
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 754
14.3%
n 754
14.3%
P 740
14.1%
y 740
14.1%
a 740
14.1%
m 740
14.1%
t 740
14.1%
R 14
 
0.3%
f 14
 
0.3%
u 14
 
0.3%

Location
Categorical

Constant 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Belly Rubb
754 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters7540
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBelly Rubb
2nd rowBelly Rubb
3rd rowBelly Rubb
4th rowBelly Rubb
5th rowBelly Rubb

Common Values

ValueCountFrequency (%)
Belly Rubb 754
100.0%

Length

2025-01-02T14:22:00.930797image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:22:01.011290image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
belly 754
50.0%
rubb 754
50.0%

Most occurring characters

ValueCountFrequency (%)
l 1508
20.0%
b 1508
20.0%
e 754
10.0%
B 754
10.0%
y 754
10.0%
754
10.0%
R 754
10.0%
u 754
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7540
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
l 1508
20.0%
b 1508
20.0%
e 754
10.0%
B 754
10.0%
y 754
10.0%
754
10.0%
R 754
10.0%
u 754
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7540
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
l 1508
20.0%
b 1508
20.0%
e 754
10.0%
B 754
10.0%
y 754
10.0%
754
10.0%
R 754
10.0%
u 754
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7540
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
l 1508
20.0%
b 1508
20.0%
e 754
10.0%
B 754
10.0%
y 754
10.0%
754
10.0%
R 754
10.0%
u 754
10.0%

Dining Option
Categorical

High correlation  Imbalance  Missing 

Distinct5
Distinct (%)2.3%
Missing534
Missing (%)70.8%
Memory size11.8 KiB
Pick Up
207 
For Here
 
7
Delivery
 
3
Pick Up, For Here
 
2
Pick Up, Delivery
 
1

Length

Max length17
Median length7
Mean length7.1818182
Min length7

Characters and Unicode

Total characters1580
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st rowFor Here
2nd rowFor Here
3rd rowFor Here
4th rowFor Here
5th rowPick Up, For Here

Common Values

ValueCountFrequency (%)
Pick Up 207
 
27.5%
For Here 7
 
0.9%
Delivery 3
 
0.4%
Pick Up, For Here 2
 
0.3%
Pick Up, Delivery 1
 
0.1%
(Missing) 534
70.8%

Length

2025-01-02T14:22:01.089789image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:22:01.167986image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
pick 210
47.5%
up 210
47.5%
for 9
 
2.0%
here 9
 
2.0%
delivery 4
 
0.9%

Most occurring characters

ValueCountFrequency (%)
222
14.1%
i 214
13.5%
P 210
13.3%
c 210
13.3%
k 210
13.3%
U 210
13.3%
p 210
13.3%
e 26
 
1.6%
r 22
 
1.4%
o 9
 
0.6%
Other values (7) 37
 
2.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1580
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
222
14.1%
i 214
13.5%
P 210
13.3%
c 210
13.3%
k 210
13.3%
U 210
13.3%
p 210
13.3%
e 26
 
1.6%
r 22
 
1.4%
o 9
 
0.6%
Other values (7) 37
 
2.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1580
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
222
14.1%
i 214
13.5%
P 210
13.3%
c 210
13.3%
k 210
13.3%
U 210
13.3%
p 210
13.3%
e 26
 
1.6%
r 22
 
1.4%
o 9
 
0.6%
Other values (7) 37
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1580
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
222
14.1%
i 214
13.5%
P 210
13.3%
c 210
13.3%
k 210
13.3%
U 210
13.3%
p 210
13.3%
e 26
 
1.6%
r 22
 
1.4%
o 9
 
0.6%
Other values (7) 37
 
2.3%

Customer ID
Text

Missing 

Distinct131
Distinct (%)53.9%
Missing511
Missing (%)67.8%
Memory size11.8 KiB
2025-01-02T14:22:01.300404image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length54
Median length26
Mean length26.115226
Min length26

Characters and Unicode

Total characters6346
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)44.0%

Sample

1st rowQ170DHBMPCY9K1ZZ49P049BCER
2nd rowQ170DHBMPCY9K1ZZ49P049BCER
3rd rowWG8AZ9EW89CN9JZKY5GPEWKT6W
4th row0BGYJMQ4GZT0VTE3D98AE51TER
5th rowQ170DHBMPCY9K1ZZ49P049BCER
ValueCountFrequency (%)
wcs1a47c053490n4c24wht466c 18
 
7.4%
peyey23689g5whefceazqmay60 17
 
7.0%
jcj1x244d95fz8jytx0vzekch8 14
 
5.7%
vtyyzzw2wx0857zvpecqe4t66r 9
 
3.7%
wg8az9ew89cn9jzky5gpewkt6w 8
 
3.3%
nhv3k38rp97sk54ezwafyjc7zm 7
 
2.9%
bmxjm3w9ycqd7y42f5q72x7dhc 7
 
2.9%
sp0pz0f1q9465b4bn5crcyqcvm 6
 
2.5%
q170dhbmpcy9k1zz49p049bcer 6
 
2.5%
t0xc7qarx57whf2xh7brkwvn20 6
 
2.5%
Other values (120) 146
59.8%
2025-01-02T14:22:01.541852image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 309
 
4.9%
4 300
 
4.7%
0 264
 
4.2%
W 244
 
3.8%
Y 243
 
3.8%
8 240
 
3.8%
E 238
 
3.8%
9 229
 
3.6%
6 223
 
3.5%
5 221
 
3.5%
Other values (24) 3835
60.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6346
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
C 309
 
4.9%
4 300
 
4.7%
0 264
 
4.2%
W 244
 
3.8%
Y 243
 
3.8%
8 240
 
3.8%
E 238
 
3.8%
9 229
 
3.6%
6 223
 
3.5%
5 221
 
3.5%
Other values (24) 3835
60.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6346
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
C 309
 
4.9%
4 300
 
4.7%
0 264
 
4.2%
W 244
 
3.8%
Y 243
 
3.8%
8 240
 
3.8%
E 238
 
3.8%
9 229
 
3.6%
6 223
 
3.5%
5 221
 
3.5%
Other values (24) 3835
60.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6346
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
C 309
 
4.9%
4 300
 
4.7%
0 264
 
4.2%
W 244
 
3.8%
Y 243
 
3.8%
8 240
 
3.8%
E 238
 
3.8%
9 229
 
3.6%
6 223
 
3.5%
5 221
 
3.5%
Other values (24) 3835
60.4%

Customer Name
Text

Missing 

Distinct112
Distinct (%)50.7%
Missing533
Missing (%)70.7%
Memory size11.8 KiB
2025-01-02T14:22:01.754441image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length36
Median length19
Mean length12.728507
Min length4

Characters and Unicode

Total characters2813
Distinct characters55
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)40.3%

Sample

1st rowNarek Ekmekjyan
2nd rowNarek Ekmekjyan
3rd rowMichael Keshishyan
4th rowArus Keshishyan
5th rowNarek Ekmekjyan
ValueCountFrequency (%)
steven 19
 
4.5%
troy 18
 
4.3%
issac 18
 
4.3%
trella 17
 
4.0%
diaz 15
 
3.6%
alexander 14
 
3.3%
michael 10
 
2.4%
john 9
 
2.1%
vuong 9
 
2.1%
keshishyan 9
 
2.1%
Other values (188) 283
67.2%
2025-01-02T14:22:02.047513image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 311
 
11.1%
e 246
 
8.7%
n 224
 
8.0%
200
 
7.1%
r 176
 
6.3%
i 155
 
5.5%
o 151
 
5.4%
l 127
 
4.5%
s 103
 
3.7%
y 82
 
2.9%
Other values (45) 1038
36.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2813
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 311
 
11.1%
e 246
 
8.7%
n 224
 
8.0%
200
 
7.1%
r 176
 
6.3%
i 155
 
5.5%
o 151
 
5.4%
l 127
 
4.5%
s 103
 
3.7%
y 82
 
2.9%
Other values (45) 1038
36.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2813
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 311
 
11.1%
e 246
 
8.7%
n 224
 
8.0%
200
 
7.1%
r 176
 
6.3%
i 155
 
5.5%
o 151
 
5.4%
l 127
 
4.5%
s 103
 
3.7%
y 82
 
2.9%
Other values (45) 1038
36.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2813
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 311
 
11.1%
e 246
 
8.7%
n 224
 
8.0%
200
 
7.1%
r 176
 
6.3%
i 155
 
5.5%
o 151
 
5.4%
l 127
 
4.5%
s 103
 
3.7%
y 82
 
2.9%
Other values (45) 1038
36.9%

Customer Reference ID
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing753
Missing (%)99.9%
Memory size11.8 KiB
2025-01-02T14:22:02.105762image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row,
ValueCountFrequency (%)
1
100.0%
2025-01-02T14:22:02.227142image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Device Nickname
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing753
Missing (%)99.9%
Memory size11.8 KiB
2025-01-02T14:22:02.287197image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowSaticoy #1
ValueCountFrequency (%)
saticoy 1
50.0%
1 1
50.0%
2025-01-02T14:22:02.419829image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 1
10.0%
a 1
10.0%
t 1
10.0%
i 1
10.0%
c 1
10.0%
o 1
10.0%
y 1
10.0%
1
10.0%
# 1
10.0%
1 1
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
S 1
10.0%
a 1
10.0%
t 1
10.0%
i 1
10.0%
c 1
10.0%
o 1
10.0%
y 1
10.0%
1
10.0%
# 1
10.0%
1 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
S 1
10.0%
a 1
10.0%
t 1
10.0%
i 1
10.0%
c 1
10.0%
o 1
10.0%
y 1
10.0%
1
10.0%
# 1
10.0%
1 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
S 1
10.0%
a 1
10.0%
t 1
10.0%
i 1
10.0%
c 1
10.0%
o 1
10.0%
y 1
10.0%
1
10.0%
# 1
10.0%
1 1
10.0%

Third Party Fees
Categorical

High correlation  Imbalance 

Distinct15
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
$0.00
737 
$15.49
 
3
$13.49
 
2
$16.25
 
1
$46.29
 
1
Other values (10)
 
10

Length

Max length6
Median length5
Mean length5.0225464
Min length5

Characters and Unicode

Total characters3787
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.6%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 737
97.7%
$15.49 3
 
0.4%
$13.49 2
 
0.3%
$16.25 1
 
0.1%
$46.29 1
 
0.1%
$20.58 1
 
0.1%
$17.29 1
 
0.1%
$20.49 1
 
0.1%
$10.49 1
 
0.1%
$24.03 1
 
0.1%
Other values (5) 5
 
0.7%

Length

2025-01-02T14:22:02.502121image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.00 737
97.7%
15.49 3
 
0.4%
13.49 2
 
0.3%
16.25 1
 
0.1%
46.29 1
 
0.1%
20.58 1
 
0.1%
17.29 1
 
0.1%
20.49 1
 
0.1%
10.49 1
 
0.1%
24.03 1
 
0.1%
Other values (5) 5
 
0.7%

Most occurring characters

ValueCountFrequency (%)
0 2216
58.5%
$ 754
 
19.9%
. 754
 
19.9%
1 14
 
0.4%
4 11
 
0.3%
9 9
 
0.2%
2 9
 
0.2%
5 6
 
0.2%
3 6
 
0.2%
6 4
 
0.1%
Other values (2) 4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3787
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2216
58.5%
$ 754
 
19.9%
. 754
 
19.9%
1 14
 
0.4%
4 11
 
0.3%
9 9
 
0.2%
2 9
 
0.2%
5 6
 
0.2%
3 6
 
0.2%
6 4
 
0.1%
Other values (2) 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3787
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2216
58.5%
$ 754
 
19.9%
. 754
 
19.9%
1 14
 
0.4%
4 11
 
0.3%
9 9
 
0.2%
2 9
 
0.2%
5 6
 
0.2%
3 6
 
0.2%
6 4
 
0.1%
Other values (2) 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3787
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2216
58.5%
$ 754
 
19.9%
. 754
 
19.9%
1 14
 
0.4%
4 11
 
0.3%
9 9
 
0.2%
2 9
 
0.2%
5 6
 
0.2%
3 6
 
0.2%
6 4
 
0.1%
Other values (2) 4
 
0.1%

Deposit ID
Text

Missing 

Distinct280
Distinct (%)98.2%
Missing469
Missing (%)62.2%
Memory size11.8 KiB
2025-01-02T14:22:02.646370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length58
Median length28
Mean length28.105263
Min length28

Characters and Unicode

Total characters8010
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique276 ?
Unique (%)96.8%

Sample

1st row3Z561QY9TAVX7ZF8E5VPVY0TA0RX
2nd row3Z3RMMJDS14X6NV8YNFPKE8E8SRD
3rd row3Z5DQPF6Y1C5409AS1X8CBYJESM9
4th row3Z7CHTKRCQWX0Y711HZ9C4C2F2A5
5th row3ZVRCC2PGJN57D3BP3H1GXA5CW1H
ValueCountFrequency (%)
3zhgwa5531w137fbftycnrjdp3x9 3
 
1.0%
3z2kzakj0cfn7wf3987cv0zgdkr1 2
 
0.7%
3zzppm5nsswd61degqf42ja2fcb5 2
 
0.7%
3znhywvfjx6s09s17ccxppce2rqh 2
 
0.7%
3ztsh9zt3rmh2e13gmz9s7f2ngh5 1
 
0.3%
3zk2p1jzgts93effw6fjgek3y7hs 1
 
0.3%
3zpkn1w0q0mh68q98bpf5089yeah 1
 
0.3%
3ztmwkv0g9mx5hf5a25ygvtps3gx 1
 
0.3%
3zm1jr9mnv550w11xdnzg6kqe3js 1
 
0.3%
3zsefacnajd569k2rvz36pqc1kx9 1
 
0.3%
Other values (271) 271
94.8%
2025-01-02T14:22:02.868490image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 554
 
6.9%
Z 467
 
5.8%
5 317
 
4.0%
1 309
 
3.9%
H 299
 
3.7%
9 296
 
3.7%
S 291
 
3.6%
N 285
 
3.6%
D 283
 
3.5%
X 277
 
3.5%
Other values (24) 4632
57.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8010
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3 554
 
6.9%
Z 467
 
5.8%
5 317
 
4.0%
1 309
 
3.9%
H 299
 
3.7%
9 296
 
3.7%
S 291
 
3.6%
N 285
 
3.6%
D 283
 
3.5%
X 277
 
3.5%
Other values (24) 4632
57.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8010
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3 554
 
6.9%
Z 467
 
5.8%
5 317
 
4.0%
1 309
 
3.9%
H 299
 
3.7%
9 296
 
3.7%
S 291
 
3.6%
N 285
 
3.6%
D 283
 
3.5%
X 277
 
3.5%
Other values (24) 4632
57.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8010
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3 554
 
6.9%
Z 467
 
5.8%
5 317
 
4.0%
1 309
 
3.9%
H 299
 
3.7%
9 296
 
3.7%
S 291
 
3.6%
N 285
 
3.6%
D 283
 
3.5%
X 277
 
3.5%
Other values (24) 4632
57.8%

Deposit Date
Date

Missing 

Distinct163
Distinct (%)57.2%
Missing469
Missing (%)62.2%
Memory size11.8 KiB
Minimum2023-11-29 00:00:00
Maximum2024-12-19 00:00:00
Invalid dates131
Invalid dates (%)17.4%
2025-01-02T14:22:02.969805image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-01-02T14:22:03.124732image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Deposit Details
Text

Missing 

Distinct280
Distinct (%)98.2%
Missing469
Missing (%)62.2%
Memory size11.8 KiB
2025-01-02T14:22:03.304797image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length202
Median length100
Mean length100.35789
Min length100

Characters and Unicode

Total characters28602
Distinct characters57
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique276 ?
Unique (%)96.8%

Sample

1st rowhttps://app.squareup.com/dashboard/sales/deposits/3Z561QY9TAVX7ZF8E5VPVY0TA0RX/by-unit/LCT784V6GTPNE
2nd rowhttps://app.squareup.com/dashboard/sales/deposits/3Z3RMMJDS14X6NV8YNFPKE8E8SRD/by-unit/LCT784V6GTPNE
3rd rowhttps://app.squareup.com/dashboard/sales/deposits/3Z5DQPF6Y1C5409AS1X8CBYJESM9/by-unit/LCT784V6GTPNE
4th rowhttps://app.squareup.com/dashboard/sales/deposits/3Z7CHTKRCQWX0Y711HZ9C4C2F2A5/by-unit/LCT784V6GTPNE
5th rowhttps://app.squareup.com/dashboard/sales/deposits/3ZVRCC2PGJN57D3BP3H1GXA5CW1H/by-unit/LCT784V6GTPNE
ValueCountFrequency (%)
https://app.squareup.com/dashboard/sales/deposits/3zhgwa5531w137fbftycnrjdp3x9/by-unit/lct784v6gtpne 3
 
1.0%
https://app.squareup.com/dashboard/sales/deposits/3z2kzakj0cfn7wf3987cv0zgdkr1/by-unit/lct784v6gtpne 2
 
0.7%
https://app.squareup.com/dashboard/sales/deposits/3zzppm5nsswd61degqf42ja2fcb5/by-unit/lct784v6gtpne 2
 
0.7%
https://app.squareup.com/dashboard/sales/deposits/3znhywvfjx6s09s17ccxppce2rqh/by-unit/lct784v6gtpne 2
 
0.7%
https://app.squareup.com/dashboard/sales/deposits/3ztsh9zt3rmh2e13gmz9s7f2ngh5/by-unit/lct784v6gtpne 1
 
0.3%
https://app.squareup.com/dashboard/sales/deposits/3zk2p1jzgts93effw6fjgek3y7hs/by-unit/lct784v6gtpne 1
 
0.3%
https://app.squareup.com/dashboard/sales/deposits/3zpkn1w0q0mh68q98bpf5089yeah/by-unit/lct784v6gtpne 1
 
0.3%
https://app.squareup.com/dashboard/sales/deposits/3ztmwkv0g9mx5hf5a25ygvtps3gx/by-unit/lct784v6gtpne 1
 
0.3%
https://app.squareup.com/dashboard/sales/deposits/3zm1jr9mnv550w11xdnzg6kqe3js/by-unit/lct784v6gtpne 1
 
0.3%
https://app.squareup.com/dashboard/sales/deposits/3zsefacnajd569k2rvz36pqc1kx9/by-unit/lct784v6gtpne 1
 
0.3%
Other values (271) 271
94.8%
2025-01-02T14:22:03.490626image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 2288
 
8.0%
s 2002
 
7.0%
a 1430
 
5.0%
p 1430
 
5.0%
t 1144
 
4.0%
o 858
 
3.0%
d 858
 
3.0%
e 858
 
3.0%
u 858
 
3.0%
T 757
 
2.6%
Other values (47) 16119
56.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 28602
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
/ 2288
 
8.0%
s 2002
 
7.0%
a 1430
 
5.0%
p 1430
 
5.0%
t 1144
 
4.0%
o 858
 
3.0%
d 858
 
3.0%
e 858
 
3.0%
u 858
 
3.0%
T 757
 
2.6%
Other values (47) 16119
56.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 28602
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
/ 2288
 
8.0%
s 2002
 
7.0%
a 1430
 
5.0%
p 1430
 
5.0%
t 1144
 
4.0%
o 858
 
3.0%
d 858
 
3.0%
e 858
 
3.0%
u 858
 
3.0%
T 757
 
2.6%
Other values (47) 16119
56.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 28602
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
/ 2288
 
8.0%
s 2002
 
7.0%
a 1430
 
5.0%
p 1430
 
5.0%
t 1144
 
4.0%
o 858
 
3.0%
d 858
 
3.0%
e 858
 
3.0%
u 858
 
3.0%
T 757
 
2.6%
Other values (47) 16119
56.4%

Fee Percentage Rate
Unsupported

Missing  Rejected  Unsupported 

Missing469
Missing (%)62.2%
Memory size11.8 KiB

Fee Fixed Rate
Categorical

High correlation  Missing 

Distinct4
Distinct (%)1.4%
Missing469
Missing (%)62.2%
Memory size11.8 KiB
$0.30
159 
$0.10
102 
$0.15
23 
$0.30, $0.30
 
1

Length

Max length12
Median length5
Mean length5.0245614
Min length5

Characters and Unicode

Total characters1432
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row$0.10
2nd row$0.30
3rd row$0.30
4th row$0.30
5th row$0.30

Common Values

ValueCountFrequency (%)
$0.30 159
 
21.1%
$0.10 102
 
13.5%
$0.15 23
 
3.1%
$0.30, $0.30 1
 
0.1%
(Missing) 469
62.2%

Length

2025-01-02T14:22:03.567800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:22:03.837284image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
0.30 161
56.3%
0.10 102
35.7%
0.15 23
 
8.0%

Most occurring characters

ValueCountFrequency (%)
0 549
38.3%
$ 286
20.0%
. 286
20.0%
3 161
 
11.2%
1 125
 
8.7%
5 23
 
1.6%
, 1
 
0.1%
1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1432
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 549
38.3%
$ 286
20.0%
. 286
20.0%
3 161
 
11.2%
1 125
 
8.7%
5 23
 
1.6%
, 1
 
0.1%
1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1432
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 549
38.3%
$ 286
20.0%
. 286
20.0%
3 161
 
11.2%
1 125
 
8.7%
5 23
 
1.6%
, 1
 
0.1%
1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1432
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 549
38.3%
$ 286
20.0%
. 286
20.0%
3 161
 
11.2%
1 125
 
8.7%
5 23
 
1.6%
, 1
 
0.1%
1
 
0.1%

Refund Reason
Categorical

High correlation  Missing 

Distinct6
Distinct (%)42.9%
Missing740
Missing (%)98.1%
Memory size11.8 KiB
Accidental Charge
Canceled Order
Canceled order
Delivery fee refund
Complimentary item

Length

Max length19
Median length18.5
Mean length16.142857
Min length14

Characters and Unicode

Total characters226
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)28.6%

Sample

1st rowAccidental Charge
2nd rowCanceled order
3rd rowCanceled Order
4th rowDelivery fee refund
5th rowCanceled Order

Common Values

ValueCountFrequency (%)
Accidental Charge 7
 
0.9%
Canceled Order 3
 
0.4%
Canceled order 1
 
0.1%
Delivery fee refund 1
 
0.1%
Complimentary item 1
 
0.1%
Complimentary 1
 
0.1%
(Missing) 740
98.1%

Length

2025-01-02T14:22:03.925728image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:22:04.024225image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
accidental 7
25.0%
charge 7
25.0%
canceled 4
14.3%
order 4
14.3%
complimentary 2
 
7.1%
delivery 1
 
3.6%
fee 1
 
3.6%
refund 1
 
3.6%
item 1
 
3.6%

Most occurring characters

ValueCountFrequency (%)
e 34
15.0%
a 20
 
8.8%
r 19
 
8.4%
c 18
 
8.0%
d 16
 
7.1%
15
 
6.6%
n 14
 
6.2%
l 14
 
6.2%
C 13
 
5.8%
i 11
 
4.9%
Other values (13) 52
23.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 226
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 34
15.0%
a 20
 
8.8%
r 19
 
8.4%
c 18
 
8.0%
d 16
 
7.1%
15
 
6.6%
n 14
 
6.2%
l 14
 
6.2%
C 13
 
5.8%
i 11
 
4.9%
Other values (13) 52
23.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 226
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 34
15.0%
a 20
 
8.8%
r 19
 
8.4%
c 18
 
8.0%
d 16
 
7.1%
15
 
6.6%
n 14
 
6.2%
l 14
 
6.2%
C 13
 
5.8%
i 11
 
4.9%
Other values (13) 52
23.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 226
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 34
15.0%
a 20
 
8.8%
r 19
 
8.4%
c 18
 
8.0%
d 16
 
7.1%
15
 
6.6%
n 14
 
6.2%
l 14
 
6.2%
C 13
 
5.8%
i 11
 
4.9%
Other values (13) 52
23.0%

Discount Name
Categorical

High correlation  Missing 

Distinct6
Distinct (%)40.0%
Missing739
Missing (%)98.0%
Memory size11.8 KiB
Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!
10% off all orders—GETYOURBABYBACK!
Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!
Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!
Family and Friends

Length

Max length138
Median length103
Mean length65.733333
Min length6

Characters and Unicode

Total characters986
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)13.3%

Sample

1st rowFamily and Friends
2nd row10% off all orders—GETYOURBABYBACK!
3rd row10% off all orders—GETYOURBABYBACK!
4th row10% off all orders—GETYOURBABYBACK!
5th row10% off all orders—GETYOURBABYBACK!

Common Values

ValueCountFrequency (%)
Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK! 5
 
0.7%
10% off all orders—GETYOURBABYBACK! 4
 
0.5%
Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK! 2
 
0.3%
Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK! 2
 
0.3%
Family and Friends 1
 
0.1%
Coupon 1
 
0.1%
(Missing) 739
98.0%

Length

2025-01-02T14:22:04.137786image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:22:04.234205image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
coupon 25
27.2%
discount 24
26.1%
getyourbabyback 24
26.1%
10 4
 
4.3%
off 4
 
4.3%
all 4
 
4.3%
orders—getyourbabyback 4
 
4.3%
family 1
 
1.1%
and 1
 
1.1%
friends 1
 
1.1%

Most occurring characters

ValueCountFrequency (%)
B 84
 
8.5%
o 82
 
8.3%
77
 
7.8%
A 56
 
5.7%
Y 56
 
5.7%
C 53
 
5.4%
n 51
 
5.2%
u 49
 
5.0%
s 29
 
2.9%
O 28
 
2.8%
Other values (27) 421
42.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 986
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
B 84
 
8.5%
o 82
 
8.3%
77
 
7.8%
A 56
 
5.7%
Y 56
 
5.7%
C 53
 
5.4%
n 51
 
5.2%
u 49
 
5.0%
s 29
 
2.9%
O 28
 
2.8%
Other values (27) 421
42.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 986
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
B 84
 
8.5%
o 82
 
8.3%
77
 
7.8%
A 56
 
5.7%
Y 56
 
5.7%
C 53
 
5.4%
n 51
 
5.2%
u 49
 
5.0%
s 29
 
2.9%
O 28
 
2.8%
Other values (27) 421
42.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 986
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
B 84
 
8.5%
o 82
 
8.3%
77
 
7.8%
A 56
 
5.7%
Y 56
 
5.7%
C 53
 
5.4%
n 51
 
5.2%
u 49
 
5.0%
s 29
 
2.9%
O 28
 
2.8%
Other values (27) 421
42.7%

Transaction Status
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Complete
732 
Voided
 
22

Length

Max length8
Median length8
Mean length7.9416446
Min length6

Characters and Unicode

Total characters5988
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVoided
2nd rowComplete
3rd rowComplete
4th rowComplete
5th rowComplete

Common Values

ValueCountFrequency (%)
Complete 732
97.1%
Voided 22
 
2.9%

Length

2025-01-02T14:22:04.355039image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:22:04.434487image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
complete 732
97.1%
voided 22
 
2.9%

Most occurring characters

ValueCountFrequency (%)
e 1486
24.8%
o 754
12.6%
C 732
12.2%
m 732
12.2%
p 732
12.2%
l 732
12.2%
t 732
12.2%
d 44
 
0.7%
V 22
 
0.4%
i 22
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5988
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 1486
24.8%
o 754
12.6%
C 732
12.2%
m 732
12.2%
p 732
12.2%
l 732
12.2%
t 732
12.2%
d 44
 
0.7%
V 22
 
0.4%
i 22
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5988
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 1486
24.8%
o 754
12.6%
C 732
12.2%
m 732
12.2%
p 732
12.2%
l 732
12.2%
t 732
12.2%
d 44
 
0.7%
V 22
 
0.4%
i 22
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5988
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 1486
24.8%
o 754
12.6%
C 732
12.2%
m 732
12.2%
p 732
12.2%
l 732
12.2%
t 732
12.2%
d 44
 
0.7%
V 22
 
0.4%
i 22
 
0.4%

Cash App
Categorical

Constant 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
$0.00
754 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters3770
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 754
100.0%

Length

2025-01-02T14:22:04.516513image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:22:04.580418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
0.00 754
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3770
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3770
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3770
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%

Order Reference ID
Text

Missing 

Distinct513
Distinct (%)100.0%
Missing241
Missing (%)32.0%
Memory size11.8 KiB
2025-01-02T14:22:04.679152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length36
Median length36
Mean length34.88499
Min length32

Characters and Unicode

Total characters17896
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique513 ?
Unique (%)100.0%

Sample

1st row11eea76dfc3e67c1af423cecef6dbaf0
2nd row4644fd4e-ae1e-4057-9c63-807e034f4611
3rd row09884d10-ac90-401c-9333-640b45fb3ad5
4th row11ee9a1ce887aac3af423cecef6dbaf0
5th row11ee96d8028fa2aaaf423cecef6dbaf0
ValueCountFrequency (%)
bcb0eeed-8664-4bf9-85bf-6e9600892564 1
 
0.2%
11ef9653ca581e66a63c3cecef6dbae8 1
 
0.2%
ce4b3eb9-6a8a-4dd0-850e-ec206e8238eb 1
 
0.2%
f0ec9283-22b7-4a08-bb54-0b1f9e442cb5 1
 
0.2%
6cb8a5e3-5daf-487f-800d-3af341cf26b3 1
 
0.2%
6b501045-1cd6-48f7-9259-70d5412c3a53 1
 
0.2%
11ef97dd4fd4dc0fa63c3cecef6dbae8 1
 
0.2%
6ffb4332-eca5-49ba-a95b-21ff0b845056 1
 
0.2%
b6b66262-afae-4ecc-9420-1a0668687c6a 1
 
0.2%
e61cdb55-1dd3-4a52-a64b-ae6f528e45c6 1
 
0.2%
Other values (503) 503
98.1%
2025-01-02T14:22:04.894725image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1480
 
8.3%
e 1341
 
7.5%
b 1189
 
6.6%
4 1165
 
6.5%
f 1160
 
6.5%
c 1124
 
6.3%
1 1119
 
6.3%
a 1067
 
6.0%
d 1018
 
5.7%
8 1013
 
5.7%
Other values (7) 6220
34.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 17896
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
- 1480
 
8.3%
e 1341
 
7.5%
b 1189
 
6.6%
4 1165
 
6.5%
f 1160
 
6.5%
c 1124
 
6.3%
1 1119
 
6.3%
a 1067
 
6.0%
d 1018
 
5.7%
8 1013
 
5.7%
Other values (7) 6220
34.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 17896
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
- 1480
 
8.3%
e 1341
 
7.5%
b 1189
 
6.6%
4 1165
 
6.5%
f 1160
 
6.5%
c 1124
 
6.3%
1 1119
 
6.3%
a 1067
 
6.0%
d 1018
 
5.7%
8 1013
 
5.7%
Other values (7) 6220
34.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 17896
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
- 1480
 
8.3%
e 1341
 
7.5%
b 1189
 
6.6%
4 1165
 
6.5%
f 1160
 
6.5%
c 1124
 
6.3%
1 1119
 
6.3%
a 1067
 
6.0%
d 1018
 
5.7%
8 1013
 
5.7%
Other values (7) 6220
34.8%

Fulfillment Note
Text

Missing 

Distinct17
Distinct (%)100.0%
Missing737
Missing (%)97.7%
Memory size11.8 KiB
2025-01-02T14:22:05.080964image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length396
Median length278
Mean length227.29412
Min length182

Characters and Unicode

Total characters3864
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st rowDelivery Instructions: Please put anything spicy on the side. Thank you! Delivery By Doordash. Courier pickup time: 11/28/2024 4:00pm - 4:10pm. For issues, contact 1(855) 222-8111 and provide the following delivery ID: 2376549462. Total Fees Applied: $15.49
2nd rowNo Contact Order. Delivery Instructions: PLEASE CALL 818 912 3845 Juan Jose Munoz will answer Delivery By Doordash. Courier pickup time: 11/28/2024 3:35pm - 3:45pm. For issues, contact 1(855) 222-8111 and provide the following delivery ID: 2376523971. Total Fees Applied: $17,29
3rd rowDelivery By Doordash. Courier pickup time: 11/27/2024 10:46am - 10:56am. For issues, contact 1(855) 222-8111 and provide the following delivery ID: 2374954029. Total Fees Applied: $16.25
4th rowDelivery Instructions: Hand to Erika - thank you. Delivery By Doordash. Courier pickup time: 11/28/2024 11:31am - 11:41am. For issues, contact 1(855) 222-8111 and provide the following delivery ID: 2371991477. Total Fees Applied: $46.29
5th rowDelivery By Doordash. Courier pickup time: 10/29/2024 5:44pm - 5:54pm. For issues, contact 1(855) 222-8111 and provide the following delivery ID: 2351642407. Total Fees Applied: $15.49
ValueCountFrequency (%)
delivery 41
 
7.2%
20
 
3.5%
contact 19
 
3.3%
the 19
 
3.3%
for 18
 
3.2%
issues 18
 
3.2%
and 18
 
3.2%
pickup 17
 
3.0%
doordash 17
 
3.0%
courier 17
 
3.0%
Other values (168) 365
64.1%
2025-01-02T14:22:05.322817image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
522
 
13.5%
e 263
 
6.8%
o 199
 
5.2%
i 187
 
4.8%
r 152
 
3.9%
2 151
 
3.9%
l 135
 
3.5%
1 132
 
3.4%
t 130
 
3.4%
s 121
 
3.1%
Other values (56) 1872
48.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3864
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
522
 
13.5%
e 263
 
6.8%
o 199
 
5.2%
i 187
 
4.8%
r 152
 
3.9%
2 151
 
3.9%
l 135
 
3.5%
1 132
 
3.4%
t 130
 
3.4%
s 121
 
3.1%
Other values (56) 1872
48.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3864
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
522
 
13.5%
e 263
 
6.8%
o 199
 
5.2%
i 187
 
4.8%
r 152
 
3.9%
2 151
 
3.9%
l 135
 
3.5%
1 132
 
3.4%
t 130
 
3.4%
s 121
 
3.1%
Other values (56) 1872
48.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3864
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
522
 
13.5%
e 263
 
6.8%
o 199
 
5.2%
i 187
 
4.8%
r 152
 
3.9%
2 151
 
3.9%
l 135
 
3.5%
1 132
 
3.4%
t 130
 
3.4%
s 121
 
3.1%
Other values (56) 1872
48.4%

Free Processing Applied
Categorical

Constant 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
$0.00
754 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters3770
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 754
100.0%

Length

2025-01-02T14:22:05.410680image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:22:05.479387image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
0.00 754
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3770
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3770
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3770
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2262
60.0%
$ 754
 
20.0%
. 754
 
20.0%

Unattributed Tips
Categorical

Constant  Missing 

Distinct1
Distinct (%)0.1%
Missing14
Missing (%)1.9%
Memory size11.8 KiB
$0.00
740 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters3700
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 740
98.1%
(Missing) 14
 
1.9%

Length

2025-01-02T14:22:05.544735image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T14:22:05.605774image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
0.00 740
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2220
60.0%
$ 740
 
20.0%
. 740
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3700
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2220
60.0%
$ 740
 
20.0%
. 740
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3700
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2220
60.0%
$ 740
 
20.0%
. 740
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3700
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2220
60.0%
$ 740
 
20.0%
. 740
 
20.0%

Correlations

2025-01-02T14:22:05.653586image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Card BrandCard Entry MethodsDevice NameDining OptionDiscount NameDiscountsEvent TypeFee Fixed RatePartial RefundsRefund ReasonService ChargesSourceThird Party FeesTransaction Status
Card Brand1.0000.0460.1070.1070.8320.0000.0000.5790.0000.0000.0000.3550.0001.000
Card Entry Methods0.0461.0000.7010.1200.8320.0000.0000.5740.0000.0000.1520.4570.0981.000
Device Name0.1070.7011.0000.0491.0000.0000.0000.9960.0001.0001.0001.0001.0000.262
Dining Option0.1070.1200.0491.0001.0000.0000.0000.0601.0001.0001.0000.0001.0000.302
Discount Name0.8320.8321.0001.0001.0001.0000.0000.8321.000NaN0.3400.5960.3401.000
Discounts0.0000.0000.0000.0001.0001.0000.2250.0000.0000.0000.2180.0000.1270.000
Event Type0.0000.0000.0000.0000.0000.2251.0000.0000.4551.0000.0000.3050.0000.000
Fee Fixed Rate0.5790.5740.9960.0600.8320.0000.0001.0000.0000.0000.0000.6860.0001.000
Partial Refunds0.0000.0000.0001.0001.0000.0000.4550.0001.0000.6280.0000.5670.0000.000
Refund Reason0.0000.0001.0001.000NaN0.0001.0000.0000.6281.0001.0000.8161.0001.000
Service Charges0.0000.1521.0001.0000.3400.2180.0000.0000.0001.0001.0000.0000.9620.000
Source0.3550.4571.0000.0000.5960.0000.3050.6860.5670.8160.0001.0000.0000.233
Third Party Fees0.0000.0981.0001.0000.3400.1270.0000.0000.0001.0000.9620.0001.0000.000
Transaction Status1.0001.0000.2620.3021.0000.0000.0001.0000.0001.0000.0000.2330.0001.000

Missing values

2025-01-02T14:21:51.460888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
A simple visualization of nullity by column.
2025-01-02T14:21:51.669551image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-01-02T14:21:51.950276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

DateTimeTime ZoneGross SalesDiscountsService ChargesNet SalesGift Card SalesTaxTipPartial RefundsTotal CollectedSourceCardCard Entry MethodsCashSquare Gift CardOther TenderOther Tender TypeTender NoteFeesNet TotalTransaction IDPayment IDCard BrandPAN SuffixDevice NameStaff NameStaff IDDetailsDescriptionEvent TypeLocationDining OptionCustomer IDCustomer NameCustomer Reference IDDevice NicknameThird Party FeesDeposit IDDeposit DateDeposit DetailsFee Percentage RateFee Fixed RateRefund ReasonDiscount NameTransaction StatusCash AppOrder Reference IDFulfillment NoteFree Processing AppliedUnattributed Tips
02023-12-3117:48:40Pacific Time (US & Canada)$0.00$0.00$0.00$0.00$0.00$0.00$0.00$0.00$0.00Point of Sale$0.00NaN$0.00$0.00$0.00NaNNaN$0.00$0.00oKZqeWVoZAj6zQSRihb6vvueVrpOi2ZGmSFxhO8R5qm9NlUi0vaBNaNNaNDashboard Belly RubbNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/oKZqeWVoZAj6zQSRihb6vvueV/by-unit/LCT784V6GTPNEBELLY SLIDERS (6 sliders, Voided) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), BELLY SLIDERS (4 sliders, Voided) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), 2 x GET YOUR BABY BACK! (Full Rack, Voided) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, MAC&CHEESE (Full, Voided) - Here’s to taking the comfort of good ol’ Mac and Cheese to a whole new level. With our warm spice mix and creamy cheese blend, this is the coziest mac and cheese you’ll find, textured with golden sweet corn.PaymentBelly RubbFor HereNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNVoided$0.00NaNNaN$0.00$0.00
12023-12-3117:42:54Pacific Time (US & Canada)$115.07$0.00$0.00$115.07$0.00$10.93$0.00$0.00$126.00Point of Sale$126.00Tapped$0.00$0.00$0.00NaNNaN-$3.38$122.62UiMrcBvXQpdYgw9Uv6rANFqeVT5eHErUi2fuJiAQXLlQnAsXEuaBAmerican Express2007.0VartanNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/UiMrcBvXQpdYgw9Uv6rANFqeV/by-unit/LCT784V6GTPNEBELLY SLIDERS (6 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), BELLY SLIDERS (4 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), 2 x GET YOUR BABY BACK! (Full Rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, MAC&CHEESE (Full) - Here’s to taking the comfort of good ol’ Mac and Cheese to a whole new level. With our warm spice mix and creamy cheese blend, this is the coziest mac and cheese you’ll find, textured with golden sweet corn.PaymentBelly RubbFor HereQ170DHBMPCY9K1ZZ49P049BCERNarek EkmekjyanNaNNaN$0.003Z561QY9TAVX7ZF8E5VPVY0TA0RX2023-12-31https://app.squareup.com/dashboard/sales/deposits/3Z561QY9TAVX7ZF8E5VPVY0TA0RX/by-unit/LCT784V6GTPNE2.6$0.10NaNNaNComplete$0.00NaNNaN$0.00$0.00
22023-12-3015:50:56Pacific Time (US & Canada)$36.17$0.00$0.00$36.17$0.00$3.44$5.43$0.00$45.04Square Online$45.04Keyed$0.00$0.00$0.00NaNNaN-$1.61$43.43i0ujnq2skRKEM9o7bQQX2znx8BRZYBoEwMIiFg9Atbymsso08lJQKjUGZYVisa3657.0NaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/i0ujnq2skRKEM9o7bQQX2znx8BRZY/by-unit/LCT784V6GTPNEGET YOUR BABY BACK! (Half rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, BELLY SLIDERS (2 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!)PaymentBelly RubbNaNQ170DHBMPCY9K1ZZ49P049BCERNarek EkmekjyanNaNNaN$0.003Z3RMMJDS14X6NV8YNFPKE8E8SRD2023-12-30https://app.squareup.com/dashboard/sales/deposits/3Z3RMMJDS14X6NV8YNFPKE8E8SRD/by-unit/LCT784V6GTPNE2.9$0.30NaNNaNComplete$0.0011eea76dfc3e67c1af423cecef6dbaf0NaN$0.00$0.00
32023-12-3015:29:25Pacific Time (US & Canada)$53.40$0.00$0.00$53.40$0.00$4.31$0.00$0.00$57.71DOORDASH$0.00NaN$0.00$0.00$57.71CustomDoorDash 4201350b-a048-407c-b448-026314821e3d$0.00$57.712yCSwAHZecEBnU0UjxHAC9cLFmLZYfXGzLpFcKyqzD2BiXsA1c2UtN09YYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/2yCSwAHZecEBnU0UjxHAC9cLFmLZY/by-unit/LCT784V6GTPNEBELLY SLIDERS (4 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), GET YOUR BABY BACK! (Full Rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood productsPaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.004644fd4e-ae1e-4057-9c63-807e034f4611NaN$0.00$0.00
42023-12-2813:10:12Pacific Time (US & Canada)$9.34$0.00$0.00$9.34$0.00$0.89$0.00$0.00$10.23DOORDASH$0.00NaN$0.00$0.00$10.23CustomDoorDash 32511734-9c22-3001-85cd-9fa25d985929$0.00$10.23G8NtqxpsCGVw3ZYlOPLHKyBjhJIZYxGDUfOjmaBMmbGWAkpO9Ba3xrDSZYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/G8NtqxpsCGVw3ZYlOPLHKyBjhJIZY/by-unit/LCT784V6GTPNECRINKLE FRIES (Full, Truffle salt) - Golden, crispy, and simply delicious-- enjoy our crinkle-cut fries with your choice of seasoning: black truffle salt, or rosemary with a dash of black pepper.PaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.0009884d10-ac90-401c-9333-640b45fb3ad5NaN$0.00$0.00
52023-12-1720:09:48Pacific Time (US & Canada)$0.00$0.00$0.00$0.00$0.00$0.00$0.00$0.00$0.00Point of Sale$0.00NaN$0.00$0.00$0.00NaNNaN$0.00$0.00mVJvqQWCLO6IAUJtzArpk5weVtuyX6STdqalIky1G0VxqcNmKvaBNaNNaNVartanNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/mVJvqQWCLO6IAUJtzArpk5weV/by-unit/LCT784V6GTPNEPINEAPPLE SLAW (Full, Voided) - Fruity meets smokey in this tropical coleslaw salad, topped with grilled, sweet pineapple chunks and dusted with smoked paprika.PaymentBelly RubbFor HereNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNVoided$0.00NaNNaN$0.00$0.00
62023-12-1720:08:22Pacific Time (US & Canada)$0.00$0.00$0.00$0.00$0.00$0.00$0.00$0.00$0.00Point of Sale$0.00NaN$0.00$0.00$0.00NaNNaN$0.00$0.00y3NqcrlWcstH9OUJkHXWqggeVHFZ2xgqjpjl5D2Vbx7sMAbO4uaBNaNNaNVartanNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/y3NqcrlWcstH9OUJkHXWqggeV/by-unit/LCT784V6GTPNEBELLY SLIDERS (4 sliders, Voided) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), COCA-COLA™ (Regular, Voided), CRINKLE FRIES (Side, Rosemary pepper, Voided) - Golden, crispy, and simply delicious-- enjoy our crinkle-cut fries with your choice of seasoning: black truffle salt, or rosemary with a dash of black pepper.PaymentBelly RubbFor HereNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNVoided$0.00NaNNaN$0.00$0.00
72023-12-1317:08:37Pacific Time (US & Canada)$86.84$0.00$0.00$86.84$0.00$8.25$13.03$0.00$108.12Square Online$108.12Keyed$0.00$0.00$0.00NaNNaN-$3.44$104.680pua7lQamI5CCtUq43TmHXo7jU8YYLZgdp6gejId2tUMC8G3Te4tpsFSZYVisa6175.0NaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/0pua7lQamI5CCtUq43TmHXo7jU8YY/by-unit/LCT784V6GTPNE2 x GET YOUR BABY BACK! (Full Rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, PINEAPPLE SLAW (Full) - Fruity meets smokey in this tropical coleslaw salad, topped with grilled, sweet pineapple chunks and dusted with smoked paprika., CRINKLE FRIES (Full, Rosemary pepper) - Golden, crispy, and simply delicious-- enjoy our crinkle-cut fries with your choice of seasoning: black truffle salt, or rosemary with a dash of black pepper.PaymentBelly RubbNaNWG8AZ9EW89CN9JZKY5GPEWKT6WMichael KeshishyanNaNNaN$0.003Z5DQPF6Y1C5409AS1X8CBYJESM92023-12-13https://app.squareup.com/dashboard/sales/deposits/3Z5DQPF6Y1C5409AS1X8CBYJESM9/by-unit/LCT784V6GTPNE2.9$0.30NaNNaNComplete$0.0011ee9a1ce887aac3af423cecef6dbaf0NaN$0.00$0.00
82023-12-0914:29:54Pacific Time (US & Canada)-$74.10$0.00$0.00-$74.10$0.00-$7.04-$14.82$0.00-$95.96Point of Sale-$95.96Keyed$0.00$0.00$0.00NaNNaN$0.00-$95.96uVh61UleK3NqFaLKt9YpWG2eVbLxBY8QZHfkvM78ktCGQp9E5g6WZYMasterCard299.0NaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/uVh61UleK3NqFaLKt9YpWG2eV/by-unit/LCT784V6GTPNEGET YOUR BABY BACK! (Full Rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, CRINKLE FRIES (Full, Truffle salt) - Golden, crispy, and simply delicious-- enjoy our crinkle-cut fries with your choice of seasoning: black truffle salt, or rosemary with a dash of black pepper., THE BABY BACK COMBO (Crinkle Fries- Rosemary Pepper) - Flying solo? Get a bit of all the best: three glazed pork rib bones, two side dishes of your choosing, and complementary pickled peppers and signature BBQ sauce.\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, PINEAPPLE SLAW (Full) - Fruity meets smokey in this tropical coleslaw salad, topped with grilled, sweet pineapple chunks and dusted with smoked paprika.RefundBelly RubbNaNNaNNaNNaNNaN$0.003Z7CHTKRCQWX0Y711HZ9C4C2F2A52023-12-09https://app.squareup.com/dashboard/sales/deposits/3Z7CHTKRCQWX0Y711HZ9C4C2F2A5/by-unit/LCT784V6GTPNE2.9$0.30Accidental ChargeNaNComplete$0.00NaNNaN$0.00NaN
92023-12-0913:19:42Pacific Time (US & Canada)$74.10$0.00$0.00$74.10$0.00$7.04$14.82$0.00$95.96Square Online$95.96Keyed$0.00$0.00$0.00NaNNaN-$3.08$92.88EdI6bYmV3RObEJPKCymrNv6EIQLZYbLxBY8QZHfkvM78ktCGQp9E5g6WZYMasterCard299.0NaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/EdI6bYmV3RObEJPKCymrNv6EIQLZY/by-unit/LCT784V6GTPNETHE BABY BACK COMBO (Crinkle Fries- Rosemary Pepper) - Flying solo? Get a bit of all the best: three glazed pork rib bones, two side dishes of your choosing, and complementary pickled peppers and signature BBQ sauce.\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, GET YOUR BABY BACK! (Full Rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, CRINKLE FRIES (Full, Truffle salt) - Golden, crispy, and simply delicious-- enjoy our crinkle-cut fries with your choice of seasoning: black truffle salt, or rosemary with a dash of black pepper., PINEAPPLE SLAW (Full) - Fruity meets smokey in this tropical coleslaw salad, topped with grilled, sweet pineapple chunks and dusted with smoked paprika.PaymentBelly RubbNaN0BGYJMQ4GZT0VTE3D98AE51TERArus KeshishyanNaNNaN$0.003ZVRCC2PGJN57D3BP3H1GXA5CW1H2023-12-09https://app.squareup.com/dashboard/sales/deposits/3ZVRCC2PGJN57D3BP3H1GXA5CW1H/by-unit/LCT784V6GTPNE2.9$0.30NaNNaNComplete$0.0011ee96d8028fa2aaaf423cecef6dbaf0NaN$0.00$0.00
DateTimeTime ZoneGross SalesDiscountsService ChargesNet SalesGift Card SalesTaxTipPartial RefundsTotal CollectedSourceCardCard Entry MethodsCashSquare Gift CardOther TenderOther Tender TypeTender NoteFeesNet TotalTransaction IDPayment IDCard BrandPAN SuffixDevice NameStaff NameStaff IDDetailsDescriptionEvent TypeLocationDining OptionCustomer IDCustomer NameCustomer Reference IDDevice NicknameThird Party FeesDeposit IDDeposit DateDeposit DetailsFee Percentage RateFee Fixed RateRefund ReasonDiscount NameTransaction StatusCash AppOrder Reference IDFulfillment NoteFree Processing AppliedUnattributed Tips
7292024-01-1012:54:36Pacific Time (US & Canada)$0.00$0.00$0.00$0.00$0.00$0.00$0.00$0.00$0.00Point of Sale$0.00NaN$0.00$0.00$0.00NaNNaN$0.00$0.00wqVJOGk5PECcpTQw8uoZJQ8eVhQUIFjg6vvXzYTZiI72db9rNvaBNaNNaNDashboard Belly RubbNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/wqVJOGk5PECcpTQw8uoZJQ8eV/by-unit/LCT784V6GTPNE9 x BELLY SLIDERS (2 sliders, Voided) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), 5 x GRILLED SWEET CORN (Regular, Voided) - Grilled sweet corn with melt-in-your-mouth buttery kernels., GET YOUR BABY BACK! (Half rack, Voided) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, GET YOUR BABY BACK! (Full Rack, Voided) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, 4 x SWEET AND SPICY BBQ SAUCE (Regular, Voided) - Our unbeatable classic with a smoky and spicy twist.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* May contain seafood, PINEAPPLE SLAW (Full, Voided) - Fruity meets smokey in this tropical coleslaw salad, topped with grilled, sweet pineapple chunks and dusted with smoked paprika., 4 x SIGNATURE BBQ SAUCE (Regular, Voided) - Immerse your fries, your ribs, and yourself in this rich depth of flavor; fruity, tangy, sweet, smoky, and just a mild hint of chili at the end. We nailed it.\n\n\n\n\n(*ALLERGEN WARNING* may contain seafood)PaymentBelly RubbPick UpNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNVoided$0.00NaNNaN$0.00$0.00
7302024-01-0617:50:12Pacific Time (US & Canada)$68.96$0.00$0.00$68.96$0.00$5.79$0.00$0.00$74.75DOORDASH$0.00NaN$0.00$0.00$74.75CustomDoorDash 76688c75-b202-4cdb-a17a-6144256755ef$0.00$74.75aqXncDlAUQxi4WIhGtFD9dwfoEKZY37unGjok1DDDA3WFnb0mdX8RPC8YYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/aqXncDlAUQxi4WIhGtFD9dwfoEKZY/by-unit/LCT784V6GTPNE2 x GRILLED SWEET CORN (Regular) - Grilled sweet corn with melt-in-your-mouth buttery kernels., PINEAPPLE SLAW (Side) - Fruity meets smokey in this tropical coleslaw salad, topped with grilled, sweet pineapple chunks and dusted with smoked paprika., MAC&CHEESE (Full) - Here’s to taking the comfort of good ol’ Mac and Cheese to a whole new level. With our warm spice mix and creamy cheese blend, this is the coziest mac and cheese you’ll find, textured with golden sweet corn., BELLY SLIDERS (4 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), GET YOUR BABY BACK! (Full Rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood productsPaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.0011aa93ac-2ee9-4a49-80c4-b61ebff617cdNaN$0.00$0.00
7312024-01-0616:55:31Pacific Time (US & Canada)$26.98$0.00$0.00$26.98$0.00$2.56$0.00$0.00$29.54Point of Sale$29.54Tapped$0.00$0.00$0.00NaNNaN-$0.87$28.67mfYUKul1XGJLREel7lqabMveVHdLB7BtsEoiXMSeoOhB8kZAJuaBAmerican Express2007VartanNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/mfYUKul1XGJLREel7lqabMveV/by-unit/LCT784V6GTPNEGET YOUR BABY BACK! (Half rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, GRILLED SWEET CORN (Regular) - Grilled sweet corn with melt-in-your-mouth buttery kernels.PaymentBelly RubbPick UpQ170DHBMPCY9K1ZZ49P049BCERNarek EkmekjyanNaNNaN$0.003Z6KXRD5REVH3ZQCR0MM2HMA1AWS2024-01-06https://app.squareup.com/dashboard/sales/deposits/3Z6KXRD5REVH3ZQCR0MM2HMA1AWS/by-unit/LCT784V6GTPNE2.6$0.10NaNNaNComplete$0.00NaNNaN$0.00$0.00
7322024-01-0616:55:10Pacific Time (US & Canada)$150.69$0.00$0.00$150.69$0.00$11.09$0.00$0.00$161.78Point of Sale$161.78Tapped$0.00$0.00$0.00NaNNaN-$4.31$157.47MoXsNI8XlPrEoaSlJzqXWMveVD7ZAXTRQF7v7NmILYNAjNLdtvaBAmerican Express2007VartanNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/MoXsNI8XlPrEoaSlJzqXWMveV/by-unit/LCT784V6GTPNE5 x BELLY SLIDERS (4 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), GET YOUR BABY BACK! (Full Rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, 4 x PINEAPPLE SLAW (Full) - Fruity meets smokey in this tropical coleslaw salad, topped with grilled, sweet pineapple chunks and dusted with smoked paprika., 3 x SIGNATURE BBQ SAUCE (Regular) - Immerse your fries, your ribs, and yourself in this rich depth of flavor; fruity, tangy, sweet, smoky, and just a mild hint of chili at the end. We nailed it.\n\n\n\n\n(*ALLERGEN WARNING* may contain seafood), 4 x SWEET AND SPICY BBQ SAUCE (Regular) - Our unbeatable classic with a smoky and spicy twist.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* May contain seafoodPaymentBelly RubbPick Up, For HereQ170DHBMPCY9K1ZZ49P049BCERNarek EkmekjyanNaNNaN$0.003ZSKE8Z3R0MH4RX8766CH6KGQWNS2024-01-06https://app.squareup.com/dashboard/sales/deposits/3ZSKE8Z3R0MH4RX8766CH6KGQWNS/by-unit/LCT784V6GTPNE2.6$0.10NaNNaNComplete$0.00NaNNaN$0.00$0.00
7332024-01-0515:35:32Pacific Time (US & Canada)$51.44$0.00$0.00$51.44$0.00$4.89$0.00$0.00$56.33Point of Sale$56.33Tapped$0.00$0.00$0.00NaNNaN-$1.56$54.774EMJZdahqZfatjRKjlwQBveeVbNEInqDuctA3ZTwhtPcQpaFFuaBVisa7360VartanNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/4EMJZdahqZfatjRKjlwQBveeV/by-unit/LCT784V6GTPNE3 x BELLY SLIDERS (2 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), 3 x GRILLED SWEET CORN (Regular) - Grilled sweet corn with melt-in-your-mouth buttery kernels., 2 x MAC&CHEESE (Side) - Here’s to taking the comfort of good ol’ Mac and Cheese to a whole new level. With our warm spice mix and creamy cheese blend, this is the coziest mac and cheese you’ll find, textured with golden sweet corn., 3 x SIGNATURE BBQ SAUCE (Regular) - Immerse your fries, your ribs, and yourself in this rich depth of flavor; fruity, tangy, sweet, smoky, and just a mild hint of chili at the end. We nailed it.\n\n\n\n\n(*ALLERGEN WARNING* may contain seafood)PaymentBelly RubbFor HereNaNNaNNaNNaN$0.003Z4ST23PFWYS0GKCFY77HPP9RDXD2024-01-05https://app.squareup.com/dashboard/sales/deposits/3Z4ST23PFWYS0GKCFY77HPP9RDXD/by-unit/LCT784V6GTPNE2.6$0.10NaNNaNComplete$0.00NaNNaN$0.00$0.00
7342024-01-0515:34:06Pacific Time (US & Canada)$0.00$0.00$0.00$0.00$0.00$0.00$0.00$0.00$0.00Point of Sale$0.00NaN$0.00$0.00$0.00NaNNaN$0.00$0.0061QDrhPRmvUAFb4JonCzP9leVR4M4NFfGLGQGtgbfOzAsGrAxvaBNaNNaNVartanNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/61QDrhPRmvUAFb4JonCzP9leV/by-unit/LCT784V6GTPNE2 x MAC&CHEESE (Side, Voided) - Here’s to taking the comfort of good ol’ Mac and Cheese to a whole new level. With our warm spice mix and creamy cheese blend, this is the coziest mac and cheese you’ll find, textured with golden sweet corn., 3 x BELLY SLIDERS (2 sliders, Voided) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), 2 x SIGNATURE BBQ SAUCE (Regular, Voided) - Immerse your fries, your ribs, and yourself in this rich depth of flavor; fruity, tangy, sweet, smoky, and just a mild hint of chili at the end. We nailed it.\n\n\n\n\n(*ALLERGEN WARNING* may contain seafood)PaymentBelly RubbFor HereNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNVoided$0.00NaNNaN$0.00$0.00
7352024-01-0514:45:17Pacific Time (US & Canada)$31.97$0.00$0.00$31.97$0.00$2.28$0.00$0.00$34.25DOORDASH$0.00NaN$0.00$0.00$34.25CustomDoorDash 4d1c0394-6f14-458b-a36f-8022302cbb8e$0.00$34.25SMUKjXNdpQyOuBiyg8ZourKPLfcZYpE02sSvbtvB4rnFK3pz2NVNK8EeZYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/SMUKjXNdpQyOuBiyg8ZourKPLfcZY/by-unit/LCT784V6GTPNEGRILLED SWEET CORN (Regular) - Grilled sweet corn with melt-in-your-mouth buttery kernels., CRINKLE FRIES (Side, Rosemary pepper) - Golden, crispy, and simply delicious-- enjoy our crinkle-cut fries with your choice of seasoning: black truffle salt, or rosemary with a dash of black pepper., GET YOUR BABY BACK! (Half rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood productsPaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.000d8d3f8d-b9b0-40a2-b4d9-f6a7271db197NaN$0.00$0.00
7362024-01-0513:24:31Pacific Time (US & Canada)$20.81$0.00$0.00$20.81$0.00$1.98$0.00$0.00$22.79DOORDASH$0.00NaN$0.00$0.00$22.79CustomDoorDash 72cff3d9-9cdd-4062-9274-8e750ce0dcfd$0.00$22.792iu6mLbKqnN4asrsl2Nvs5MN677YYB0mWIe7A4KY9sHyLjpxwlWCKTIUZYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/2iu6mLbKqnN4asrsl2Nvs5MN677YY/by-unit/LCT784V6GTPNEMAC&CHEESE (Side) - Here’s to taking the comfort of good ol’ Mac and Cheese to a whole new level. With our warm spice mix and creamy cheese blend, this is the coziest mac and cheese you’ll find, textured with golden sweet corn., CRINKLE FRIES (Side, Rosemary pepper) - Golden, crispy, and simply delicious-- enjoy our crinkle-cut fries with your choice of seasoning: black truffle salt, or rosemary with a dash of black pepper., BELLY SLIDERS (2 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!)PaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.005866fb4b-7be1-4abb-92c3-570db0a64f82NaN$0.00$0.00
7372024-01-0416:58:39Pacific Time (US & Canada)$35.37$0.00$0.00$35.37$0.00$2.60$0.00$0.00$37.97DOORDASH$0.00NaN$0.00$0.00$37.97CustomDoorDash dcfc3897-d998-4a76-9370-a4c9a8d141e0$0.00$37.97Alj33VmyfYStTvPvwtHsoAzflfLZYRONnP9BClsZJmGlPxDr7AEwfS1XZYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/Alj33VmyfYStTvPvwtHsoAzflfLZY/by-unit/LCT784V6GTPNEGRILLED SWEET CORN (Regular) - Grilled sweet corn with melt-in-your-mouth buttery kernels., CRINKLE FRIES (Side, Rosemary pepper) - Golden, crispy, and simply delicious-- enjoy our crinkle-cut fries with your choice of seasoning: black truffle salt, or rosemary with a dash of black pepper., GET YOUR BABY BACK! (Half rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood productsPaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.00b14bc1df-d4ef-45a5-9eed-fb9ac0694eceNaN$0.00$0.00
7382024-01-0314:04:45Pacific Time (US & Canada)$24.84$0.00$0.00$24.84$0.00$2.36$0.00$0.00$27.20DOORDASH$0.00NaN$0.00$0.00$27.20CustomDoorDash f51e9461-94b1-405c-9b67-739d4897841f$0.00$27.20wVP7Hej4tBfoa5qu8yuOwe7xGNQZYjB02AoC0BQAdzXbhMUTzXPvdA48YYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/wVP7Hej4tBfoa5qu8yuOwe7xGNQZY/by-unit/LCT784V6GTPNEGET YOUR BABY BACK! (Half rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood productsPaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.008a8fc68b-85de-41d0-8263-82abe3b868f4NaN$0.00$0.00